11604 Retention Jobs - Page 7

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

The landscape of work has transformed dramatically in recent years, with remote work becoming a cornerstone of modern employment. As of 2025, many U.S. companies are embracing remote and hybrid work models, offering professionals the flexibility to work from home or anywhere else. This shift has been driven by advancements in technology, evolving employee expectations, and the proven benefits of remote work, such as increased productivity and better work-life balance. If you’re a job seeker looking for remote opportunities, this guide highlights top companies hiring for remote roles in the U.S., key industries offering these positions, and actionable tips to land your dream remote job. Below, we explore the current remote work scene, spotlight companies actively hiring, and provide insights to help you navigate the job market. Why Remote Work Continues to Thrive in 2025 Remote work is no longer a temporary trend but a permanent fixture in the U.S. job market. According to recent data, 9% of U.S. jobs on platforms like LinkedIn are fully Remote Work Hiring Now, yet they attract nearly 40% of applications, underscoring the high demand for these roles. Companies are adopting remote work to reduce overhead costs, access a global talent pool, and meet employee preferences for flexibility. Industries such as technology, healthcare, finance, and customer service are leading the charge, offering roles that range from entry-level to senior positions. Remote work also supports digital nomadism, allowing professionals to work from anywhere in the U.S. without geographic restrictions, provided they meet legal and time zone requirements. Benefits Of Remote Work For Employees Flexibility: Work from home or any location, balancing personal and professional commitments. Cost Savings: Eliminate commuting expenses and reduce costs for professional attire or meals. Improved Productivity: Create a personalized work environment to enhance focus and efficiency. Work-Life Balance: Spend more time with family or pursue hobbies without long commutes. Benefits For Employers Wider Talent Pool: Hire skilled professionals regardless of their location in the U.S. Reduced Overhead: Save on office space, utilities, and other operational costs. Higher Retention: Flexible work arrangements boost employee satisfaction and loyalty. Increased Productivity: Studies show remote workers often outperform office-based employees in certain roles. Top Industries Hiring for Remote Work in 2025 Several Industries Are At The Forefront Of The Remote Work Revolution, Offering Diverse Opportunities For Job Seekers. Here’s a Look At The Key Sectors Driving Remote Hiring In The U.S. Technology: Software development, data science, and IT roles dominate remote job listings, with companies leveraging tools like Slack, Zoom, and GitHub for collaboration. Healthcare: Telehealth, medical billing, and administrative roles are increasingly remote, with organizations like CVS Health leading the way. Finance: Financial analysts, accountants, and customer service roles in banking and insurance are shifting to remote settings. Customer Service: Call center and support roles are highly flexible, with companies like UnitedHealth Group hiring remote representatives. Marketing and Content Creation: Content writers, social media managers, and digital marketers thrive in remote environments, supported by platforms like HubSpot and Buffer. Education: Online tutoring, instructional design, and administrative roles in education are growing, with companies like Stride, Inc. offering remote positions. Also Read: Top Remote Call Center Jobs Hiring Now – Work From Home Guide Top Companies Offering Remote Work Hiring Now in the U.S. Role Based on recent job market analyses and posts on platforms like X, the following companies are actively hiring for remote roles in 2025. These employers span various industries and offer a mix of full-time, part-time, and contract positions. Below is a curated list of 20 companies, their remote work policies, and the types of roles they’re hiring for: Zapier Industry: Technology Remote Policy: Fully remote, work-from-anywhere model with no geographic restrictions. Open Roles: Software engineers, customer support specialists, and marketing managers. Benefits: Home office budget, flexible PTO, and equity options. Why Join: Zapier’s asynchronous work culture supports flexibility and autonomy, ideal for digital nomads. GitLab Industry: Technology Remote Policy: Remote-first, with employees in over 65 countries. Open Roles: DevOps engineers, product managers, and data analysts. Benefits: Transparent culture, stock options, and learning stipends. Why Join: GitLab’s handbook-driven approach ensures clarity and inclusivity for remote workers. CVS Health Industry: Healthcare Remote Policy: Offers hybrid and fully remote roles, with a focus on telehealth and customer service. Open Roles: Prevention coordinators, customer service representatives, and IT specialists. Benefits: Comprehensive health insurance, wellness programs, and tuition reimbursement. Why Join: CVS Health combines healthcare impact with flexible work arrangements. UnitedHealth Group Industry: Healthcare Remote Policy: Hybrid and fully remote options, depending on the role. Open Roles: Medical coders, customer service agents, and data analysts. Benefits: Competitive pay, parental leave, and employee assistance programs. Why Join: UnitedHealth Group is a leader in remote healthcare roles with robust benefits. Buffer Industry: Marketing/Social Media Remote Policy: Fully remote with a focus on asynchronous communication. Open Roles: Social media managers, content writers, and customer advocates. Benefits: Four-day workweeks, free Kindle with books, and transparent salaries. Why Join: Buffer’s open culture and emphasis on work-life balance make it a top choice. Affirm Industry: Financial Services Remote Policy: Remote-first, with optional office spaces for hybrid work. Open Roles: Financial analysts, software engineers, and customer success managers. Benefits: No late fees for employees, wellness programs, and stock options. Why Join: Affirm’s mission-driven approach resonates with professionals seeking impactful roles. Atlassian Industry: Technology Remote Policy: Team Anywhere model, allowing work from any U.S. location. Open Roles: Software developers, UX designers, and marketing specialists. Benefits: Flexible PTO, team offsites, and professional development programs. Why Join: Atlassian’s tools like Jira and Confluence are built for remote collaboration. HubSpot Industry: Marketing/Sales Remote Policy: Hybrid model with significant remote flexibility. Open Roles: Inbound marketing specialists, sales representatives, and content strategists. Benefits Paid parental leave, remote work stipends, and employee resource groups. Why Join: HubSpot’s focus on employee growth makes it ideal for career-driven professionals. Reddit Industry: Social Media Remote Policy: Flexible model allowing permanent remote work or hybrid options. Open Roles: Community managers, software engineers, and data scientists. Benefits: Flexible work locations, wellness stipends, and inclusive culture. Why Join: Reddit’s community-driven platform offers creative and engaging remote roles. Intuit Industry: Financial Services Remote Policy: Remote-friendly with roles in multiple U.S. states. Open Roles: Accountants, customer support specialists, and UX designers. Benefits: Pay equity, fertility benefits, and volunteer time off. Why Join: Intuit’s products like TurboTax make it a trusted name in remote finance roles. Dropbox Industry: Technology Remote Policy: Fully remote with a focus on digital-first collaboration. Open Roles: Cloud engineers, product managers, and marketing specialists. Benefits: Flexible PTO, wellness reimbursements, and remote work stipends. Why Join: Dropbox’s innovative tools support seamless remote work. Shopify Industry: eCommerce Remote Policy: Digital by Design, fully remote across the U.S. Open Roles: eCommerce specialists, software developers, and customer support agents. Benefits: Stock options, learning budgets, and health insurance. Why Join: Shopify empowers entrepreneurs, offering dynamic remote opportunities. Spotify Industry: Entertainment/Technology Remote Policy: Work-from-anywhere model with time zone flexibility. Open Roles: Audio engineers, marketing managers, and data analysts. Benefits: Parental leave, wellness allowances, and learning programs. Why Join: Spotify’s creative culture appeals to tech and music enthusiasts. Pinterest Industry: Social Media Remote Policy: PinFlex model, allowing remote or hybrid work. Open Roles: Content curators, software engineers, and ad specialists. Benefits: Flexible work locations, health insurance, and employee resource groups. Why Join: Pinterest’s visual platform offers unique remote marketing roles. Okta Industry: Technology/Cybersecurity Remote Policy: Dynamic Work model, fully remote with office access. Open Roles: Cybersecurity analysts, software engineers, and sales representatives. Benefits: Stock options, wellness programs, and professional development. Why Join: Okta’s focus on security makes it a leader in remote tech roles. Coursera Industry: Education Remote Policy: Remote-friendly with global reach. Open Roles: Instructional designers, content developers, and customer success managers. Benefits: Learning stipends, flexible PTO, and health insurance. Why Join: Coursera’s mission to transform education aligns with remote learning trends. Zillow Industry: Real Estate/Technology Remote Policy: Hybrid and fully remote options. Open Roles: Data analysts, software developers, and customer support specialists. Benefits: Home office stipends, wellness programs, and equity awards. Why Join: Zillow’s innovative approach to real estate offers diverse remote roles. Slack Industry: Technology Remote Policy: Remote-first with asynchronous collaboration. Open Roles: Software engineers, customer experience specialists, and product managers. Benefits: Flexible PTO, wellness reimbursements, and team offsites. Why Join: Slack’s communication tools are built for remote team success. NVIDIA Industry: Technology/AI Remote Policy: Remote-friendly with roles across the U.S. Open Roles: AI researchers, software engineers, and sales specialists. Benefits: Tuition reimbursement, parental leave, and health insurance. Why Join: NVIDIA’s cutting-edge AI work offers exciting remote opportunities. Twilio Industry: Technology/Communications Remote Policy: Remote-first with global flexibility. Open Roles: Cloud engineers, customer success managers, and marketing specialists. Benefits: Stock options, wellness stipends, and learning programs. Why Join: Twilio’s communication solutions power remote collaboration. Note : Job openings and remote policies may vary. Check company career pages or platforms like FlexJobs, We Work Remotely, or LinkedIn for the latest listings. Also Read: Remote Pharmacy Technician Jobs: Work From Home Roles You Can Apply For Job openings How To Find Remote Jobs In 2025 Securing a remote job requires a strategic approach, especially in a competitive market. Here are actionable tips to help you stand out: Use Specialized Job Boards: Platforms like FlexJobs, We Work Remotely, and Remote.co curate verified remote job listings, reducing the risk of scams. Set up alerts for roles matching your skills and preferences. Tailor Your Application: Highlight remote work skills like self-motivation, time management, and proficiency with tools like Zoom, Slack, or Asana. Customize your resume and cover letter with keywords from job descriptions. Leverage Networking: Connect with professionals on LinkedIn or join remote work communities to discover hidden opportunities. Attend virtual industry events to meet hiring managers directly. Showcase Remote Readiness: Demonstrate familiarity with remote tools and asynchronous communication. Include past remote work experience or transferable skills in your portfolio. Research Company Policies: Understand each company’s remote work policy (e.g., fully remote vs. hybrid) to ensure alignment with your needs. Check for time zone or state-specific requirements. Upskill for In-Demand Roles: Learn tools like Adobe Creative Suite for design roles or Python for tech positions. Pursue certifications in project management, digital marketing, or data analysis to boost your qualifications. Challenges Of Remote Work And How To Overcome Them While remote work offers numerous benefits, it comes with challenges. Here’s how to address common hurdles: Isolation: Combat loneliness by joining virtual coworking spaces or scheduling regular check-ins with colleagues. Distractions: Create a dedicated workspace and set boundaries with family or housemates. Communication Gaps: Use tools like Slack or Microsoft Teams for clear, asynchronous communication. Career Growth: Seek companies with transparent promotion paths and invest in continuous learning to stay competitive. Conclusion – Remote Work Hiring Now Remote work continues to redefine the U.S. job market in 2025, offering unparalleled flexibility and opportunities across industries like technology, healthcare, finance, and education. Companies like Zapier, GitLab, CVS Health, and Buffer are leading the way, hiring for diverse roles with competitive benefits. By leveraging specialized job boards, tailoring your applications, and upskilling, you can secure a remote job that aligns with your career goals and lifestyle. Whether you’re a seasoned professional or new to the workforce, the remote job market is brimming with possibilities. Start your search today and take the first step toward a flexible, fulfilling career. Frequently Asked Questions (FAQs) – Remote Work Hiring Now Which industries offer the most remote jobs in 2025? Technology, healthcare, finance, customer service, and marketing are among the top industries offering remote roles, with positions like software developers, telehealth professionals, and content writers in high demand. How can I find legitimate remote jobs? Use trusted platforms like FlexJobs, We Work Remotely, or LinkedIn to find verified listings. Avoid generic job boards to reduce the risk of scams. What skills are essential for remote work? Key skills include self-motivation, time management, communication, and proficiency with remote tools like Zoom, Slack, and project management software. Are remote jobs available for entry-level candidates? Yes, roles like virtual assistants, customer service representatives, and content writers are ideal for beginners and often require minimal experience. Do remote jobs pay as well as in-office roles? Many remote jobs, especially in tech and finance, offer competitive salaries, sometimes exceeding industry averages due to cost savings on office spaces. What are the benefits of working for a remote-first company? Remote-first companies offer flexibility, asynchronous work options, and benefits like home office stipends, wellness programs, and learning budgets. Can I work remotely from anywhere in the U.S.? Some companies allow work from anywhere, while others have state-specific requirements due to tax or legal regulations. Check job descriptions for details. How do I stand out when applying for remote jobs? Tailor your resume to highlight remote work skills, showcase measurable achievements, and demonstrate familiarity with collaboration tools in your cover letter. Are there part-time remote jobs available? Yes, companies like Amplify Education and Yoko Co. offer part-time remote roles in fields like education, customer service, and content creation. What tools should I learn for remote work? Familiarize yourself with tools like Slack, Zoom, Trello, Asana, and Google Workspace to enhance your remote work efficiency and appeal to employers. Related Posts Step-by-Step: How to Start Your Remote Data Entry Career Today Top 1099 Work From Home Jobs in the U.S. for Independent Contractors Legit Work From Home Jobs for Stepmoms: Real Opportunities & Flexible Roles in 2025 Top RN Careers Work From Home Nursing Jobs in the U.S. Best Work From Home Jobs Houston You Can Start Today Remote Pathophysiology Teaching Jobs: Companies Hiring Now in the USA Higher Education Remote Jobs: Teaching, Admin & More (U.S.) 25 Legit Work from Home Jobs That Really Pay Well in the USA Show more Show less

Work Level : Senior Leadership Core : Team Player, Result Driven, Communication Skills, Self Motivated Leadership : Purpose Driven, Delivering Results Industry Type : Banking Function : Regional Manager Key Skills : SME Banking,Working Capital,Team Leader,SME,Team Handling,Ccod,SME Loans,Term Loan,Teamwork Education : PG/ Master Note: This is a requirement for one of the Workassist Hiring Partner. Job Role: Leading a team of RMs to achieve budgeted business levels Initial scrutiny of loan proposals and ensure that they are in line with the underwriting guidelines Monitoring of the performance versus desired results for month /quarter and ensure corrective actions where necessary Recruiting / hiring and training new employees and retention of performing team members Developing alternate sales channels in the catchment area and managing them Ensure productivity of team members by bringing in daily rhythm in sales activities. Ensure compliance of the regulatory and internal guidelines within the team Run local campaigns and events to ensure visibility of the bank in the business segment Serve as the key contact person for preferred customers of the Location Ensure quality of loans acquired and be the first line of defence on asset quality Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Position Title: Operations and Compliance Designation: AVP / DVP Objective: The job holder will be responsible for ensuring regulatory compliance and enhancing operational efficiency to support the company's strategic goals. Act as a key point of contact for directors and stakeholders on governance matters. This position will align daily business practices with strategic goals, manage regulatory requirements effectively and maintain a robust operational framework that supports the company's growth. Key Responsibilities: 1) Develop, implement, and maintain robust compliance frameworks in line with applicable laws and regulations (e.g., SEBI, RBI, Companies Act, etc.). 2) To setup processes for customer on-boarding (KYC), depository, clearing and settlement of trades and implement policies and procedures for risk management (market and operational), surveillance, trade settlements and reconciliations 3) Monitor regulatory changes and advise management on the implications and necessary adjustments 4) To ensure process controls and adherence to the guidelines of regulatory bodies governing the business segment. 5) Monitor performance metrics and prepare reports to ensure operational goals are met. 6) Lead initiatives to adopt technology and automation for operational improvements 7) Conduct periodic compliance audits and risk assessments to ensure adherence to legal requirements. Ensure timely and accurate filings with regulatory authorities. 8) Oversee internal audits, prepare for regulatory audits and maintain clear documentation and reporting processes. 9) Organize and manage board and committee meetings, including scheduling, preparation of agendas, notices, and minutes. Maintain statutory registers and records as required under the Companies Act. 10) Collaborating with leadership to build an environment of collective responsibility and accountability. To manage multiple relationships with banks, financial institutions, etc. 11) Ensure timely filing of annual returns, resolutions, and other statutory documents with the Ministry of Corporate Affairs (MCA). 12) Provide legal support on corporate and compliance matters, including drafting and reviewing policies, contracts, and agreements. Offer strategic advice to the management on legal risks and implications. 13) Establish internal controls to mitigate compliance and regulatory risks. Investigate and address compliance breaches, recommending corrective actions. 14) Work closely with internal teams such as Finance, HR, and Operations to ensure regulatory alignment. Liaise with auditors, consultants, and regulators on behalf of the organization. 15) Provide regular financial and operational updates to the executive team and stakeholders, demonstrating alignment with the organization’s financial goals 16) Develop and manage budgets for operations, ensuring cost efficiency without compromising quality. Qualification: Graduate in Law (LLB) or equivalent. Qualified Company Secretary (CS) from the Institute of Company Secretaries of India (ICSI). Experience: 8–12 years of experience in compliance and corporate governance, preferably in the financial services/fintech/banking sector. Proven track record in managing operational processes and secretarial compliance. a. Previous experience working in fintech, banking, or financial services sectors. b. Familiarity with RBI and SEBI compliance frameworks. c. Strong understanding of corporate laws, secretarial practices and governance frameworks Competencies: Ethical judgment and integrity. Strategic thinking and a proactive mindset. Ability to work independently and as part of a team. Adaptability to fast-paced and dynamic environments. Ability to multitask and manage priorities in a dynamic environment. High attention to detail and ability to work under tight deadlines. Job Interactions 1) Cross-Functional Collaboration - Align operations with organizational goals and support other departments, such as Product, Technology, Compliance, and Customer Support, to meet business targets. 2) Support and Enablement - Facilitate efficient workflows and remove operational barriers for other teams. 3) Risk Management and Compliance Oversight - Ensure that operational processes align with regulatory requirements and risk management standards. 4) Data-Driven Decision Making - Support internal teams by providing insights and analytics that can improve decision-making. 5) Continuous Improvement and Training - Promote a culture of continuous improvement within operations to boost productivity and efficiency across the organization 6) Escalation and Conflict Resolution - Address operational issues and conflicts promptly to maintain smooth interdepartmental interactions Nature of Interaction Service Delivery and Client Satisfaction - Operational processes align with client expectations and regulatory standards. This might involve gathering customer feedback to assess service quality and identify areas for improvement. Customer Success and Retention - Build and maintain relationships with high-value or long-term clients. This helps foster trust and loyalty, contributing to client retention and overall customer satisfaction. Onboarding and Compliance - Onboarding process to ensure that clients meet regulatory requirements (like KYC and AML) and that the process is efficient. Partnerships and Vendor Management - Work with third-party vendors or partners to ensure external collaborations align with company standards and serve customer needs effectively. Strategic Development and Advocacy - Act as client advocates in internal discussions, representing customer perspectives when refining products, developing new features, or improving service models Show more Show less

Company Overview: Tring is India’s Largest Tech-Enabled Celebrity Engagement Platform with 15,000+ celebrities on board like MS Dhoni, Rajkummar Rao, Shilpa Shetty, Shivam Dube, Sonali Bendre, Ali Fazal, to name a few. Tring helps brands connect with celebrities for brand ambassador deals, endorsements, event appearances, image rights, influencer marketing, and more. Having worked with over 1,500 brands across industries, Tring makes celebrity marketing accessible and cost-effective for businesses of all sizes. Why Join Us? At Tring, you will be part of a fast-growing company revolutionizing the celebrity engagement industry. Work alongside a vibrant team, collaborate with some of the biggest brands and personalities, and help shape the future of marketing with direct access to A-list celebrities. If you thrive in dynamic environments and want to be part of a game-changing platform, this is the place for you! Your Role: - Conduct cold reach outs via calls, networking, and attending industry events to generate new leads. - Drive B2B sales by acquiring and managing business accounts. - Conduct video meetings to present Tring’s service offerings and close deals. - Collaborate with the celebrity team to propose tailored celebrity solutions for clients. - Manage leads and sales activities in Zoho CRM. - Build strong client relationships to ensure retention and satisfaction. What We’re Looking For: - Minimum 6 months to 2 years of B2B sales experience with a track record of exceeding sales targets. - Strong negotiation and communication skills. - Ability to conduct engaging presentations and explain complex solutions. - Skilled in cold outreach, prospecting, and relationship management. - Analytical and problem-solving abilities. Perks and Benefits: - Competitive salary with performance-based bonuses. - Career growth opportunities in a fast-paced, innovative environment. - Continuous learning and development. - A chance to work with top celebrities and leading brands. Show more Show less

Job Description Location- Mumbai, Maharashtra Job Responsibilities Critically examine the execution of Projects & troubleshoot problems on the go. Lead client review meetings & ensure customer delight. Drive client servicing and relations to ensure CSAT of 9 and above for all clients. Map customer expectations at a high level & evolve SEO practice to ensure customer delight. Work closely with the Content and SEO teams to ensure there are no errors in the work being sent out. Mentor managers and junior team members Ensure client retention. Ensure timely execution of projects. Own client status calls and communication regarding SEO and effectively communicate ongoing efforts to clients. Requirements At least 4-7 years of Client & Team Management experience Experience in managing multiple projects. Strong data analytics skills to find actionable insights from the data. Strong verbal and written communication skills. Well-versed in Microsoft Excel, Sheets and Looker Studio Working knowledge of GA4, Google Search Console and other SEO tools like AHREFS, SEM Rush, Screaming frog etc About Social Beat Founded in 2012, Social Beat is a digital growth partner for leading brands and hyperscaling startups in India. With a 300+ strong team of digital experts across Bengaluru, Mumbai, NCR and Chennai, they are India's fastest-growing independent digital marketing solutions company and manage 3% of digital media investment in India. Social Beat is a Google Premier Partner, Facebook Business Partner and works closely with ecosystem partners like Hotstar, Amazon & Linkedin. They work as extended growth teams at startups including boAt, Upgrad Campus, Global Bees, Blackbuck, Jupiter, Khatabook, Scaler, Whitehat Jr, Pharmeasy, Pinelabs, Wakefit, Juicy Chemistry and with top brands including Bharat Matrimony, Jaquar, Tata Cliq, Indiabulls Dhani, Tata Consumer Products, Mahindra Finance, Go Colors, Hotstar, Himalaya Wellness, Quess Corp, Sundaram Mutual, Brigade Group, Give India and Isuzu on driving innovation through a combination of creativity and performance. They have bagged numerous awards from Google, ET Brand Equity, Foxglove, Digies, Advertising Club of Madras, Advertising Club of Bangalore and adjudged amongst the Fastest Growing Agency by Agency Reporter. Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Context: Head Marketing will lead the marketing efforts for pharmaceutical products of CVD division within the domestic market. This role involves developing and executing marketing strategies and collaborating with cross-functional teams to drive brand growth and market share. Challenges: Aligning Marketing with Business Goals, Keeping Up with Rapid Digital Evolution, Data Overload & Insight Extraction, Customer-Centric Strategy, Cross-Functional Collaboration, Talent Acquisition & Retention, Budget Constraints, Brand Differentiation, Global vs. Local Strategy and Crisis Management. KEY ACCOUNTABILITIES Strategic Planning:- Develop and implement comprehensive marketing strategies to achieve business objectives. Conduct market analysis to identify opportunities and threats. Define target markets and positioning strategies for pharmaceutical products of CVD division. Brand Management:- Oversee the development and execution of brand plans. Ensure consistent brand messaging across all marketing channels. Monitor brand performance and make data-driven adjustments to strategies. Marketing Campaigns:- Plan and execute multi-channel marketing campaigns, including digital, print, and events. Collaborate with creative agencies to develop promotional materials. Track and analyse campaign performance to optimize ROI. Stakeholder Collaboration:- Work closely with sales, CMO's , regulatory, and other departments to align marketing strategies with business goals. Build and maintain relationships with key opinion leaders and industry influencers. Represent the company at industry conferences and events. Budget Management:- Develop and manage the marketing budget. Ensure efficient allocation of resources to maximize marketing impact. Monitor expenditures and provide regular financial reports. Compliance Ensure all marketing activities comply with relevant regulations and industry standards. EDUCATION & EXPERIENCE:- Pharm/M.Pharm/MBA with 10–15 years of experience in product management within the pharmaceutical industry, specifically in Cardiac and Diabetic segments. A minimum of 1 year of experience as a Marketing Manager is mandatory. Functional Skills : Strategic Thinking, Digital Marketing Expertise, Brand Management, Market Research & Consumer Insights, Campaign Planning & Execution, Data Analysis & ROI Measurement, Leadership & Team Management, Communication & Presentation, Budgeting & Financial Acumen, Innovation & Adaptability. Behavioral Skills : Leadership & Vision, Emotional Intelligence, Collaboration & Influence, Adaptability & Resilience, Creative Thinking, Decision-Making, Communication, Customer-Centric Mind-set, Accountability, Ethical Judgment Show more Show less

The ideal candidate will have experience in all areas related to the human resources field. They should be comfortable onboarding new candidates and collecting necessary background information as well as assisting employees while at work. This candidate should work closely with management in order to provide training for employees and establish ways to increase employee engagement. Responsibilities Employee Relations & Support: Act as the first point of contact for employees regarding HR-related inquiries, providing timely and accurate information. Recruitment & Onboarding: Assist in the end-to-end recruitment process, including job postings, resume screening, conducting interviews, and facilitating onboarding for new hires. Performance Management: Support the performance appraisal process by coordinating with managers and employees, ensuring timely feedback and development plans. Training & Development: Assist in identifying training needs and organizing development programs to enhance employee skills and performance. HR Administration: Maintain accurate employee records, process HR documentation, and ensure compliance with company policies and legal requirements. Employee Engagement: Support initiatives aimed at improving employee engagement, retention, and overall workplace culture. HR Projects: Contribute to various HR projects and initiatives, providing administrative support and ensuring successful implementation. Qualifications Bachelor's degree/MBA in HR or related field 3 - 6 years of experience in HR or related field Strong organization, communication and conflict resolution skills Demonstrated ability to onboard new employees and manage HR tasks Proficient in Microsoft Office suite Show more Show less

About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee’s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As an Executive - Customer Experience you will lead and drive the overall customer experience strategy, ensuring seamless interactions and satisfaction across all touchpoints. Oversee customer insights, service excellence, and innovation to enhance loyalty and business growth. Key Responsibilities ● Help in handling customers through all touchpoints - Calls, Emails, Chats & ORM ● Achieve the First Response TAT ,CSAT/CES as per set targets ● Build a rapport with the customers by - Listening, Understanding and Resolving the customer's issue promptly and accurately ● Sharing prompt & accurate resolutions and with positive Customer satisfaction Score ● Provide customer VOC/feedback for further product enhancements. ● Provide highly professional customer service to achieve a high level of customer satisfaction and retention. ● Meet the average response time along with productivity while ensuring you follow all quality parameters. ● Achieve the set productivity as per the set targets to maximize the efficiency Qualifications & Skills Required ● Graduate 2+ years of relevant experience ● Ability to understand the customer's query and share the right resolution ● Ability to engage and retain players ● Awareness of all the policies and procedures used to provide seamless support to customers. ● Hindi and English communication should be excellent. ● Excellent verbal and written communication skills. ● Proficient in handling Computer and other tools Be a part of Junglee Games to: ● Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. ● Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. ● Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. ● Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. ● Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. ● Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us ● Explore the world of Junglee Games through our website, www.jungleegames.com. ● Get a glimpse of what Life at Junglee Games looks like on LinkedIn. ● Here is a quick snippet of the Junglee Games Offsite’24 ● Liked what you saw so far? Be A Junglee Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Benefits: Cell phone reimbursement Flexible schedule Food provided Health insurance Internet reimbursement Paid sick time Paid time off Work from home Schedule: Day shift Monday to Friday Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your notice period? What is your Expected CTC? What is your current CTC? How many years of experience do you have in Customer Support? Experience: Customer relationship management: 2 years (Required) Customer service: 2 years (Required) Customer support: 2 years (Required) Work Location: In person

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

LUXURY SALES ASSOCIATE - HIGH-END LUXURY FASHION (BACKEND POSITION / NO STORE FACING) INDUSTRY - PRELOVED - HIGH-END LUXURY FASHION (E-COMMERCE) LOCATION: Delhi & Mumbai ROLE: Sales by handling all enquiries on Company’s main number and maintaining the quickest turn around period for sales conversion in a timely manner. Primary handling buying and selling Inquires via WhatsApp and calls. Filtering, profiling for effective Whatsapp broadcast list/s for higher penetration. Driving the sales performance of the e-commerce platform Managing and executing promotional campaigns Providing insights on customer shopping trends to support assortment selection and identify assortment gaps Ensuring good customer service by addressing and ensuring the timely resolution of customer issues or comments Creating and promoting different product stories/series on whatsapp. Following up on lost deals (Buyer and sellers). Develop and execute innovative strategies for new lead acquisition and customer retention. Ensuring quick response time for every enquiry received and converted. Ensuring that accurate data is fed into CRM the same day by EOD. Running timely discounts/ promos/ offers for high conversion from Dropped leads. Researches new trends or advances in product lines to make appropriate buying decisions. ensure commercial and financial viability of the product. Analyze sales figures, customers reactions and market trends to anticipate product needs and plan product ranges/stock Collaborate with buyers, suppliers, distributors and analysts to negotiate prices, quantities and time-scales Maximise customer interest and sales levels by promoting products appropriately Forecast profits/sales and plan budgets Build constructive customer relationships and team with channel partners to build pipeline and close deals Remain up to date with industry’s best practices ELIGIBILITY: Fashion Graduate from a reputed fashion school with minimum 1 year of work experience Priority given to Proven sales experience in Luxury Retail sector. Understanding of the current market trends and economic developments. At the same time, it requires an understanding of the needs and wants of the target consumers and locating a product to suit these needs. SKILLS REQUIRED: Proven working experience & Excellent sales skills Negotiation, decision-making & interpersonal skills Highly creative with experience in identifying target audiences and devising campaigns that engage, inform and motivate Up-to-date with the latest trends and best practices Excellent verbal and written communications skills Strong listening, presentation and decision-making skills Commercial acumen and the ability to “decode” customers SALARY Best in industry + Individual Incentive + Group Incentive The monthly package and benefits will be discussed in person and based on the previous experience and matching the criteria Apply at – hr@confidentialcouture.com WHO WE ARE? www.confidentialcouture.com Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Compensation Package: Commission pay Performance bonus Schedule: Day shift Work Location: In person

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Sales/Marketing Specialist Are you a marketing expert? Can you take Sales and marketing tasks, including outbound calling, lead generation, client relationship management, understanding of European marketing trends, international sales and sales strategy? Join ESS, a key player in the global exhibition stands. With operations spanning Europe, USA, and Asia, our teams comprise individuals, much like yourself, who are passionate about sales, exhibition design, building and quality. Position Overview Expo Stand Services is seeking a Sales Specialist to join our dynamic team. The ideal candidate will be responsible for reaching out to potential clients worldwide, tracking ongoing leads, and contributing to our sales growth. This role requires a proactive approach, strong communication skills, and the ability to work collaboratively within a team. Key Responsibilities 1) Client Outreach and Relationship Building: • Connect with potential clients across Europe via calls, emails, and other communication channels. • Establish strong relationships and maintain consistent follow-ups to ensure customer satisfaction. 2) Service Briefing: • Introduce and explain the company’s services to prospective clients, highlighting the custom solutions for exhibition stands and trade show displays. • Understand the specific needs of each client and provide tailored solutions based on their requirements. 3) Needs Analysis: • Engage with clients to identify their needs, including the size, design, and scope of the exhibition stand they are looking for. • Assess their budget and timelines to ensure the proposed solutions meet their expectations. 4) Collaboration with Design Team: • Communicate client requirements, including stand size and design preferences, to the internal design team. • Coordinate with designers to ensure the creation of 3D models that align with client specifications. 5) Presentations and Proposals: • Present the 3D models and design proposals to clients, addressing any queries or concerns they may have. • Discuss the quality, customization options, and pricing to ensure that the client understands the value proposition. 6) Negotiation and Closing Sales: • Negotiate terms, pricing, and project timelines with clients to close the deal. • Ensure all sales agreements are clear and well-documented. • Actively follow up to convert leads into final sales. 7) Ongoing Client Support: • Maintain a high level of customer engagement throughout the process to ensure satisfaction from initial inquiry to post-event follow-up. • Gather feedback to improve services and ensure client retention. Show more Show less

Pegasus is seeking a strategic and hands-on Head of D2C Growth & Performance Marketing to scale our direct-to-consumer business. You will be responsible for building a growth engine that spans paid media, conversion optimization, CRM, and product merchandising. You’ll lead a multi-functional e-commerce team (including Amazon, Quick Commerce, and website) and craft a unified brand experience for parents. Key Responsibilities: 1. Performance Marketing & Growth Strategy Own paid marketing across Meta, Google, YouTube, and other platforms. Plan and optimise CAC (cost of acquisition) across all digital channels. Scale website traffic through full-funnel ad strategies. Drive retargeting, upsell/cross-sell, and lookalike campaigns. 2. D2C Website Ownership Optimise user experience, funnel, and CRO (conversion rate optimisation). Define and manage Shopify/website merchandising strategy. Collaborate with product and design to build high-converting landing pages. 3. Product Bundling & Merchandising Strategy Create compelling, themed product bundles for target parent personas. Collaborate with editorial/product teams to match product-market trends. 4. Team Leadership Lead and mentor performance marketers, e-commerce managers (Amazon, Q-commerce), content & creative leads. Break silos between Amazon, Website, and D2C to drive unified growth. 5. Campaign Execution & GTM (Go-to-Market) Own planning and execution of campaigns across seasons, events, themes. Run A/B tests for copy, creatives, product mix, and pricing. 6. CRM & Retention Plan automated journeys and loyalty campaigns via email, WhatsApp, and SMS. Increase repeat purchase rate and customer LTV. 7. Data, Analytics & Reporting Track and report on key metrics: CAC, ROAS, CTR, CVR, LTV. Build performance dashboards and conduct attribution analysis. Ideal Profile: 6–10 years of experience in D2C e-commerce, growth marketing, or digital brand management. Proven track record scaling website revenue from <5% to >30% of overall sales. Deep hands-on experience with Meta Ads Manager, Google Ads, Shopify, Klaviyo (or similar). Strong analytical thinking and creative intuition can balance data with empathy for parents. Experience managing e-commerce platforms like Amazon, Q-commerce (Blinkit, Instamart), etc. Excellent leadership and cross-functional team-building skills. Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About the Role We are looking for an experienced and highly motivated SEO - Assistant Manager to lead our organic growth initiatives across web and mobile platforms. This role requires strategic thinking, strong analytical capabilities, and deep knowledge of SEO and ASO best practices. You will be responsible for driving visibility, traffic, installs, and user engagement through effective search and app store optimization. Key Responsibilities Strategy & Planning Develop and execute comprehensive short-term and long-term SEO and ASO strategies. Lead and manage a team of SEO specialists and ensure seamless execution of projects. SEO Optimization Conduct keyword research and guide content and product teams for high-impact SEO content. Optimize on-page elements such as metadata, internal linking, and content structure. Lead off-page SEO efforts including link-building and authority development. Audit and fix technical SEO issues affecting crawlability and indexation. ASO Optimization Optimize mobile apps on Google Play Store and Apple App Store. Improve app visibility through metadata, screenshots, reviews, and A/B testing. Analyze installs, retention, and crash reports via tools like Firebase and Appsflyer. Track and enhance app ranking and user review performance. Performance Monitoring & Reporting Track keyword rankings, organic traffic, and conversion rates. Prepare regular performance reports aligned with KPIs and ROI goals. Stay updated with algorithm changes and industry trends to adjust strategies. Collaboration Work closely with PPC, content, social media, and design teams. Manage localization, content creation, and design requirements for SEO/ASO. Tools & Tech Proficiency Use tools such as Google Search Console, Ahrefs, SEMrush, Screaming Frog, App Annie, Sensor Tower, Mobile Action, and others to drive actionable insights. Requirements 3–4 years of proven experience in SEO and ASO. Solid understanding of Google algorithms, technical SEO, and app store guidelines. Experience working with large websites (10,000+ indexed pages). Strong analytical skills and a data-driven mindset. Proficiency with tools like Google Analytics, Firebase, Appsflyer, App Store Connect, Play Console. Basic knowledge of HTML/CSS. Bachelor’s degree in Marketing, Computer Science, or related field. Excellent communication and leadership skills. Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 7.00 + years Salary : INR 4000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: MatchMove) (*Note: This is a requirement for one of Uplers' client - MatchMove) What do you need for this opportunity? Must have skills required: Gen AI, AWS data stack, Kinesis, open table format, Pyspark, stream processing, Kafka, MySQL, Python MatchMove is Looking for: Technical Lead - Data Platform Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities:: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points:: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. Engagement Model: : Direct placement with client This is remote role Shift timings ::10 AM to 7 PM How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less