1938 Redshift Jobs

HI looking for Skilled AWS Data Engineer, Interested candidates please find the JD below: • Bachelor’s Degree and 3+ years’ experience in the implementation of modern data ecosystems in AWS/Cloud platforms. • 3+ years’ experience in Python, SQL. • 3+ years’ experience in Lambda • 3+ years’ experience in Glue • 3+ years’ experience in Redshift, Aurora, RDS, S3 and other AWS services. • Experience in Security, Policies and IAM. Show more Show less

We are looking for skilled ETL pipeline support engineer to join DevOps team. In this role, you will be ensuring the smooth operation of PROD ETL pipelines. Also responsible for monitoring, troubleshooting existing pipelines. This role requires a strong understanding of SQL, Spark, and experience with AWS Glue and Redshift . Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in supporting and maintaining ETL pipelines. Strong proficiency in SQL and experience with relational databases (e.g., Redshift). Solid understanding of distributed computing concepts and experience with Apache Spark. Hands-on experience with AWS Glue and other AWS data services (e.g., S3, Lambda). Experience with data warehousing concepts and best practices. Excellent problem-solving, analytical skills and strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Skills and Experience: Experience with other ETL tools and technologies Experience with scripting languages (e.g., Python). Familiarity with Agile development methodologies. Experience with data visualization tools (e.g., Tableau, Power BI). Roles & Responsibilities Monitor and maintain existing ETL pipelines, ensuring data quality and availability. identify and resolve pipeline issues and data errors. Troubleshoot data integration processes. If needed, collaborate with data engineers and other stakeholders to resolve complex issues Develop and maintain necessary documentation for ETL processes and pipelines. Participate in on-call rotation for production support. Show more Show less

Experience - 8+ Years Budget - 30 LPA (Including Variable Pay) Location - Bangalore, Hyderabad, Chennai (Hybrid) Shift Timing - 2 PM - 11 PM ETL Development Lead (8+ years) Experience with Leading and mentoring a team of Talend ETL developers. Providing technical direction and guidance on ETL/Data Integration development to the team. Designing complex data integration solutions using Talend & AWS. Collaborating with stakeholders to define project scope, timelines, and deliverables. Contributing to project planning, risk assessment, and mitigation strategies. Ensuring adherence to project timelines and quality standards. Strong understanding of ETL/ELT concepts, data warehousing principles, and database technologies. Design, develop, and implement ETL (Extract, Transform, Load) processes using Talend Studio and other Talend components. Build and maintain robust and scalable data integration solutions to move and transform data between various source and target systems (e.g., databases, data warehouses, cloud applications, APIs, flat files). Develop and optimize Talend jobs, workflows, and data mappings to ensure high performance and data quality. Troubleshoot and resolve issues related to Talend jobs, data pipelines, and integration processes. Collaborate with data analysts, data engineers, and other stakeholders to understand data requirements and translate them into technical solutions. Perform unit testing and participate in system integration testing of ETL processes. Monitor and maintain Talend environments, including job scheduling and performance tuning. Document technical specifications, data flow diagrams, and ETL processes. Stay up-to-date with the latest Talend features, best practices, and industry trends. Participate in code reviews and contribute to the establishment of development standards. Proficiency in using Talend Studio, Talend Administration Center/TMC, and other Talend components. Experience working with various data sources and targets, including relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL), NoSQL databases, AWS cloud platform, APIs (REST, SOAP), and flat files (CSV, TXT). Strong SQL skills for data querying and manipulation. Experience with data profiling, data quality checks, and error handling within ETL processes. Familiarity with job scheduling tools and monitoring frameworks. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively within a team environment. Basic Understanding of AWS Services i.e. EC2 , S3 , EFS, EBS, IAM , AWS Roles , CloudWatch Logs, VPC, Security Group , Route 53, Network ACLs, Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon DynamoDB. Understanding of AWS Data integration Services i.e. Glue, Data Pipeline, Amazon Athena , AWS Lake Formation, AppFlow, Step Functions Preferred Qualifications: Experience with Leading and mentoring a team of 8+ Talend ETL developers. Experience working with US Healthcare customer.. Bachelor's degree in Computer Science, Information Technology, or a related field. Talend certifications (e.g., Talend Certified Developer), AWS Certified Cloud Practitioner/Data Engineer Associate. Experience with AWS Data & Infrastructure Services.. Basic understanding and functionality for Terraform and Gitlab is required. Experience with scripting languages such as Python or Shell scripting. Experience with agile development methodologies. Understanding of big data technologies (e.g., Hadoop, Spark) and Talend Big Data platform. Job Type: Full-time Pay: ₹2,800,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job requisition ID :: 84234 Date: Jun 15, 2025 Location: Delhi Designation: Senior Consultant Entity: What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice Work you’ll do As a Senior Consultant in our Consulting team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll: We are seeking a highly skilled Senior AWS DevOps Engineer with 6-10 years of experience to lead the design, implementation, and optimization of AWS cloud infrastructure, CI/CD pipelines, and automation processes. The ideal candidate will have in-depth expertise in Terraform, Docker, Kubernetes, and Big Data technologies such as Hadoop and Spark. You will be responsible for overseeing the end-to-end deployment process, ensuring the scalability, security, and performance of cloud systems, and mentoring junior engineers. Overview: We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Exp- 2 to 7 years Location- Bangalore, Chennai, Coimbatore, Delhi, Mumbai, Bhubaneswar. Key Responsibilities: 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Build and maintain data lakes using S3 and Delta Lake 4. Create and manage analytics solutions using Amazon Athena and Redshift 5. Design and implement database solutions using Aurora, RDS, and DynamoDB 6. Develop serverless workflows using AWS Step Functions 7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL 8. Ensure data quality, security, and compliance with industry standards 9. Collaborate with data scientists and analysts to support their data needs 10. Optimize data architecture for performance and cost-efficiency 11. Troubleshoot and resolve data pipeline and infrastructure issues Required Qualifications: 1. bachelor’s degree in computer science, Information Technology, or related field 2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS 3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 4. Experience with data lake technologies, particularly Delta Lake 5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL 6. Proficiency in Python and PySpark programming 7. Strong SQL skills and experience with PostgreSQL 8. Experience with AWS Step Functions for workflow orchestration Technical Skills: AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB , Step Functions Big Data: Hadoop, Spark, Delta Lake Programming: Python, PySpark Databases: SQL, PostgreSQL, NoSQL Data Warehousing and Analytics ETL/ELT processes Data Lake architectures Version control: Github Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Senior Consultant across our organization: Develop high-performing people and teams through challenging and meaningful opportunities Deliver exceptional client service; maximize results and drive high performance from people while fostering collaboration across businesses and borders Influence clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people Understand key objectives for clients and Deloitte; align people to objectives and set priorities and direction. Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals.

Job requisition ID :: 84245 Date: Jun 15, 2025 Location: Delhi Designation: Consultant Entity: What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice Work you’ll do As a Senior Consultant in our Consulting team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll: We are seeking a highly skilled Senior AWS DevOps Engineer with 6-10 years of experience to lead the design, implementation, and optimization of AWS cloud infrastructure, CI/CD pipelines, and automation processes. The ideal candidate will have in-depth expertise in Terraform, Docker, Kubernetes, and Big Data technologies such as Hadoop and Spark. You will be responsible for overseeing the end-to-end deployment process, ensuring the scalability, security, and performance of cloud systems, and mentoring junior engineers. Overview: We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Exp- 2 to 7 years Location- Bangalore, Chennai, Coimbatore, Delhi, Mumbai, Bhubaneswar. Key Responsibilities: 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Build and maintain data lakes using S3 and Delta Lake 4. Create and manage analytics solutions using Amazon Athena and Redshift 5. Design and implement database solutions using Aurora, RDS, and DynamoDB 6. Develop serverless workflows using AWS Step Functions 7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL 8. Ensure data quality, security, and compliance with industry standards 9. Collaborate with data scientists and analysts to support their data needs 10. Optimize data architecture for performance and cost-efficiency 11. Troubleshoot and resolve data pipeline and infrastructure issues Required Qualifications: 1. bachelor’s degree in computer science, Information Technology, or related field 2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS 3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 4. Experience with data lake technologies, particularly Delta Lake 5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL 6. Proficiency in Python and PySpark programming 7. Strong SQL skills and experience with PostgreSQL 8. Experience with AWS Step Functions for workflow orchestration Technical Skills: AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB , Step Functions Big Data: Hadoop, Spark, Delta Lake Programming: Python, PySpark Databases: SQL, PostgreSQL, NoSQL Data Warehousing and Analytics ETL/ELT processes Data Lake architectures Version control: Github Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Senior Consultant across our organization: Develop high-performing people and teams through challenging and meaningful opportunities Deliver exceptional client service; maximize results and drive high performance from people while fostering collaboration across businesses and borders Influence clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people Understand key objectives for clients and Deloitte; align people to objectives and set priorities and direction. Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals.

Experience - 8+ Years Budget - 30 LPA (Including Variable Pay) Location - Bangalore, Hyderabad, Chennai (Hybrid) Shift Timing - 2 PM - 11 PM ETL Development Lead (8+ years) Experience with Leading and mentoring a team of Talend ETL developers. Providing technical direction and guidance on ETL/Data Integration development to the team. Designing complex data integration solutions using Talend & AWS. Collaborating with stakeholders to define project scope, timelines, and deliverables. Contributing to project planning, risk assessment, and mitigation strategies. Ensuring adherence to project timelines and quality standards. Strong understanding of ETL/ELT concepts, data warehousing principles, and database technologies. Design, develop, and implement ETL (Extract, Transform, Load) processes using Talend Studio and other Talend components. Build and maintain robust and scalable data integration solutions to move and transform data between various source and target systems (e.g., databases, data warehouses, cloud applications, APIs, flat files). Develop and optimize Talend jobs, workflows, and data mappings to ensure high performance and data quality. Troubleshoot and resolve issues related to Talend jobs, data pipelines, and integration processes. Collaborate with data analysts, data engineers, and other stakeholders to understand data requirements and translate them into technical solutions. Perform unit testing and participate in system integration testing of ETL processes. Monitor and maintain Talend environments, including job scheduling and performance tuning. Document technical specifications, data flow diagrams, and ETL processes. Stay up-to-date with the latest Talend features, best practices, and industry trends. Participate in code reviews and contribute to the establishment of development standards. Proficiency in using Talend Studio, Talend Administration Center/TMC, and other Talend components. Experience working with various data sources and targets, including relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL), NoSQL databases, AWS cloud platform, APIs (REST, SOAP), and flat files (CSV, TXT). Strong SQL skills for data querying and manipulation. Experience with data profiling, data quality checks, and error handling within ETL processes. Familiarity with job scheduling tools and monitoring frameworks. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively within a team environment. Basic Understanding of AWS Services i.e. EC2 , S3 , EFS, EBS, IAM , AWS Roles , CloudWatch Logs, VPC, Security Group , Route 53, Network ACLs, Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon DynamoDB. Understanding of AWS Data integration Services i.e. Glue, Data Pipeline, Amazon Athena , AWS Lake Formation, AppFlow, Step Functions Preferred Qualifications: Experience with Leading and mentoring a team of 8+ Talend ETL developers. Experience working with US Healthcare customer.. Bachelor's degree in Computer Science, Information Technology, or a related field. Talend certifications (e.g., Talend Certified Developer), AWS Certified Cloud Practitioner/Data Engineer Associate. Experience with AWS Data & Infrastructure Services.. Basic understanding and functionality for Terraform and Gitlab is required. Experience with scripting languages such as Python or Shell scripting. Experience with agile development methodologies. Understanding of big data technologies (e.g., Hadoop, Spark) and Talend Big Data platform. Job Type: Full-time Pay: ₹2,800,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person

Job Title: AWS Data Engineer The role typically involves working various shifts to support customers in a 24/7 roster-based model within an office environment Summary: We are seeking an experienced AWS Data Engineer to join our TC - Data and AIoT department. As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. You will work closely with cross-functional teams to ensure efficient data flow and integration, enabling effective data analysis and reporting. Roles and Responsibilities: 1. Design and develop data pipelines and ETL processes on the AWS platform, ensuring scalability, reliability, and performance. 2. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions. 3. Implement data governance and security measures to ensure compliance with industry standards and regulations. 4. Optimize data storage and retrieval processes to enhance data accessibility and performance. 5. Troubleshoot and resolve data-related issues, ensuring data quality and integrity. 6. Monitor and maintain data pipelines, ensuring timely data ingestion and processing. 7. Stay up-to-date with the latest AWS services and technologies, and evaluate their potential for enhancing our data infrastructure. 8. Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. 9. Document technical specifications, processes, and procedures related to data engineering. Qualifications: 1. Bachelor's degree in Computer Science, Engineering, or a related field. 2. 2-5 years of experience in data engineering, with a focus on AWS technologies. 3. Strong knowledge of AWS services such as S3, Glue, Redshift, Athena, EMR and Lambda. 4. Proficiency in programming languages such as Python, SQL, and Scala. 5. Experience with data modeling, data warehousing, and ETL processes. 6. Familiarity with data governance and security best practices. 7. Strong analytical and problem-solving skills. 8. Excellent communication and collaboration abilities. 9. AWS certifications (e.g., AWS Certified Big Data - Specialty) are a plus. Job Type: Full-time Pay: Up to ₹1,500,000.00 per year Schedule: Rotational shift Work Location: In person

Summary Position Summary AWS DevSecOps Engineer – CL4 Role Overview : As a DevSecOps Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive DevSecOps engineering craftsmanship and advanced proficiency across multiple programming languages, DevSecOps tools, and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused CI/CD and automation solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop DevSecOps engineering solutions that solve complex automation problems with valuable outcomes, ensuring high-quality, lean, resilient and secure pipelines with low operating costs, meeting platform/technology KPIs. Technical Leadership and Advocacy: Serve as the technical advocate for DevSecOps modern practices, ensuring integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable automation/integration/security practices—being responsible for designing and maintaining code repos, CI/CD pipelines, integrations (code quality, QE automation, security, etc.) and environments (sandboxes, dev, test, stage, production) through IaC, both for custom and package solutions, including identifying, assessing, and remediating vulnerabilities. Engineering Craftsmanship: Maintain accountability for the integrity and design of DevSecOps pipelines and environments while leading the implementation of deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing. Be always hands-on and actively engage with engineers to ensure DevSecOps practices are understood and can be implemented throughout the product development life cycle. Resolve any technical issues from implementation to production operations (e.g., leading triage and troubleshooting production issues). Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean, and yet scalable and flexible, DevSecOps automations through rapid, inexpensive experimentation to solve customer needs, enabling version control, security, logging, feedback loops, continuous delivery, etc. Engage with customers and product teams to deliver the right automation, security, and deployment practices. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Support a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess intermediary knowledge in modern software engineering practices and principles, including Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate intermediate level understanding of the product development lifecycle, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs into technical requirements and automations. Learn to navigate various enterprise functions such as product, experience, engineering, compliance, and security to drive product value and feasibility. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Learn to create a coherent narrative that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Able to engage and collaborate with product engineering teams, including customers as needed. Able to build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Support diverse perspectives and consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes by leveraging a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Strong software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc. 5+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred). 5+ years proven experience with CI/CD tools (Azure DevOps and GitHub Enterprise) and Git (version control, branching, merging, handling pull requests) to automate build, test, and deployment processes. 5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend), monitoring/logging (Prometheus, Grafana, Dynatrace), and other cloud-native tools on AWS, Azure, and GCP. 5+ years of hands-on experience in using Infrastructure as Code (IaC) technologies like Terraform, Puppet, Azure Resource Manager (ARM), AWS Cloud Formation, and Google Cloud Deployment Manager. 2+ years of hands-on experience with cloud native services like Data Lakes, CDN, API Gateways, Managed PaaS, Security, etc. on multiple cloud providers like AWS, Azure and GCP is preferred. Strong understanding of methodologies like, XP, Lean, SAFe to deliver high quality products rapidly. General understanding of cloud providers security practices, database technologies and maintenance (e.g. RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL) General knowledge of networking, firewalls, and load balancers. Strong preference will be given to candidates with AI/ML and GenAI. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302803 Show more Show less

Experience - 8+ Years Budget - 30 LPA (Including Variable Pay) Location - Bangalore, Hyderabad, Chennai (Hybrid) Shift Timing - 2 PM - 11 PM ETL Development Lead (8+ years) Experience with Leading and mentoring a team of Talend ETL developers. Providing technical direction and guidance on ETL/Data Integration development to the team. Designing complex data integration solutions using Talend & AWS. Collaborating with stakeholders to define project scope, timelines, and deliverables. Contributing to project planning, risk assessment, and mitigation strategies. Ensuring adherence to project timelines and quality standards. Strong understanding of ETL/ELT concepts, data warehousing principles, and database technologies. Design, develop, and implement ETL (Extract, Transform, Load) processes using Talend Studio and other Talend components. Build and maintain robust and scalable data integration solutions to move and transform data between various source and target systems (e.g., databases, data warehouses, cloud applications, APIs, flat files). Develop and optimize Talend jobs, workflows, and data mappings to ensure high performance and data quality. Troubleshoot and resolve issues related to Talend jobs, data pipelines, and integration processes. Collaborate with data analysts, data engineers, and other stakeholders to understand data requirements and translate them into technical solutions. Perform unit testing and participate in system integration testing of ETL processes. Monitor and maintain Talend environments, including job scheduling and performance tuning. Document technical specifications, data flow diagrams, and ETL processes. Stay up-to-date with the latest Talend features, best practices, and industry trends. Participate in code reviews and contribute to the establishment of development standards. Proficiency in using Talend Studio, Talend Administration Center/TMC, and other Talend components. Experience working with various data sources and targets, including relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL), NoSQL databases, AWS cloud platform, APIs (REST, SOAP), and flat files (CSV, TXT). Strong SQL skills for data querying and manipulation. Experience with data profiling, data quality checks, and error handling within ETL processes. Familiarity with job scheduling tools and monitoring frameworks. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively within a team environment. Basic Understanding of AWS Services i.e. EC2 , S3 , EFS, EBS, IAM , AWS Roles , CloudWatch Logs, VPC, Security Group , Route 53, Network ACLs, Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon DynamoDB. Understanding of AWS Data integration Services i.e. Glue, Data Pipeline, Amazon Athena , AWS Lake Formation, AppFlow, Step Functions Preferred Qualifications: Experience with Leading and mentoring a team of 8+ Talend ETL developers. Experience working with US Healthcare customer.. Bachelor's degree in Computer Science, Information Technology, or a related field. Talend certifications (e.g., Talend Certified Developer), AWS Certified Cloud Practitioner/Data Engineer Associate. Experience with AWS Data & Infrastructure Services.. Basic understanding and functionality for Terraform and Gitlab is required. Experience with scripting languages such as Python or Shell scripting. Experience with agile development methodologies. Understanding of big data technologies (e.g., Hadoop, Spark) and Talend Big Data platform. Job Type: Full-time Pay: ₹2,800,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person

- 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - 1+ years of tax, finance or a related analytical field experience Are you passionate about solving business challenges at a global scale? Amazon Employee Services is looking for an experienced Business Analyst to join Retail Business Services team and help unlock insights which take our business to the next level. The candidate will be excited about understanding and implementing new and repeatable processes to improve our employee global work authorization experiences. They will do this by partnering with key stakeholders to be curious and comfortable digging deep into the business challenges to understand and identify insights that will enable us to figure out standards to improve our ability to globally scale this program. They will be comfortable delivering/presenting these recommended solutions by retrieving and integrating artifacts in a format that is immediately useful to improve the business decision-making process. This role requires an individual with excellent analytical abilities as well as an outstanding business acumen. The candidate knows and values our customers (internal and external) and will work back from the customer to create structured processes for global expansions of work authorization, and help integrate new countries/new acquisitions into the existing program. They are experts in partnering and earning trust with operations/business leaders to drive these key business decisions. Responsibilities: - Own the development and maintenance of new and existing artifacts focused on analysis of requirements, metrics, and reporting dashboards. - Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs. - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. - Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks. - Participate in strategic and tactical planning discussions. - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs. - Excellent writing skills, to create artifacts easily digestible by business and tech partners. Key job responsibilities • Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight • Understand the requirements of stakeholders and map them with the data sources/data warehouse • Own the delivery and backup of periodic metrics, dashboards to the leadership team • Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies • Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers • Perform business analysis and data queries using appropriate tools • Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Experience in Amazon Redshift and other AWS technologies Experience creating complex SQL queries joining multiple datasets, ETL DW concepts Experience in SCALA and Pyspark Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Position: Database Admin- Redshift Purpose of the Position: You will be a critical member of the Infocepts Cloud Data Administrator Team. This position requires a deep understanding of Amazon Redshift, database performance tuning, and optimization techniques. Strong foundation in database concepts, SQL, and experience with AWS services is essential. Location: Nagpur/Pune/Bangalore/Chennai Type of Employment: Full-time Key Result Areas and Activities: Design and Development: Design, implement, and manage Redshift clusters for high availability, performance, and security. Performance Optimization: Monitor and optimize database performance, including query tuning and resource management. Backup and Recovery: Develop and maintain database backup and recovery strategies. Security Enforcement: Implement and enforce database security policies and procedures. Cost-Performance Balance: Ensure an optimal balance between cost and performance. Collaboration with Development Teams: Work with development teams to design and optimize database schemas and queries. Perform database migrations, upgrades, and patching. Issue Resolution: Troubleshoot and resolve database-related issues, providing support to development and operations teams. Automate routine database tasks using scripting languages and tools. Continuous Learning: Stay updated with the latest Redshift features, best practices, and industry trends. Deliver technology-focused training sessions and conduct expert knowledge sharing with client stakeholders as needed. Documentation and Proposals: Assist in designing case study documents and collaborate with Centre of Excellence/Practice teams on proposals. Mentorship and Recruitment: Mentor and groom junior DBAs and participate in conducting interviews for the organization. Value-Added Improvements: Propose improvements to the existing database landscape. Product Team Collaboration: Collaborate effectively with product teams to ensure seamless integration and performance. Essential Skills: Strong understanding of database design, performance tuning, and optimization techniques Proficiency in SQL and experience with database scripting languages (e.g., Python, Shell) Experience with database backup and recovery, security, and high availability solutions Familiarity with AWS services and tools, including S3, EC2, IAM, and CloudWatch Operating System - Any flavor of Linux, Windows Desirable Skills: Knowledge of other database systems (e.g., Snowflake, SingleStore, PostgreSQL, MySQL) AWS Certified Database - Specialty or other relevant certifications Prior experience of working in a large media company would be added advantage Qualifications: Bachelor?s degree in computer science, engineering, or related field (Master?s degree is a plus) 7-10 years of experience as a Database Administrator, with at least 5 years of experience specifically with Amazon Redshift Demonstrated continued learning through one or more technical certifications or related methods Experience with data warehousing concepts and ETL processes Qualities: Should be a quick and self-learner and be ready to adapt to new technologies as and when required Should have the capability to deep dive and research in various technical related fields Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Location India Years Of Exp 7 to 10 years

Role : Sr. Python Developer Location : Pune, Hyderabad, Gurgaon [Hybrid] Experience : 6+ Years Must Have Skills : Automation tools Python 3 x advanced level lists dictionaries classes packages code repositories schedule jobs for enterprise data migration conversion validation projects Experience using Python 3 x scripting, Advanced Python Multi-Threading, Multi-Processing, GIS, Python Library Capable of combining many data sources and databases into a single system Experience in Python framework Django is a must and knowledge of Flask is a plus. Integrating user-facing elements into applications. Developing backend components to improve responsiveness and overall performance. Solid database skills in a relational database (i.e. PostgreSQL, MySQL, etc.) Knowledge of how to build and use RESTful APIs Experience deploying Python applications into production Amazon Web Services (AWS) with more in-depth experience in container deployments and microservices development. Strong knowledge of version control (i.e. git, svn, etc.) Excellent communication and team collaboration skills Good to Have : Strong experience with an array of AWS services such as Cloud Formation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, EC2, Lake Formation, Cloud Watch, and Cloud Trail. Knowledge ingesting data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift. Knowledge of analyzing data using SQL Stored procedures. Experience building automated data pipelines to ingest data from relational database systems, file systems, and NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift. Roles & Responsibilities : Design, build, and maintain efficient, reusable, and reliable code. Ensure the best possible performance and quality of high-scale data applications and services. Participate in system design discussions. Independently perform hands-on development and unit testing of the applications. Collaborate with the development team and build individual components into the enterprise data platform. Work in a team environment with product and cross-functional teams to deliver a project throughout the whole software development cycle. Identify and resolve any performance issues. Keep up to date with new technology development and implementation. Participate in code review to make sure standards and best practices are met. Show more Show less

Description Are you passionate about solving business challenges at a global scale? Amazon Employee Services is looking for an experienced Business Analyst to join Retail Business Services team and help unlock insights which take our business to the next level. The candidate will be excited about understanding and implementing new and repeatable processes to improve our employee global work authorization experiences. They will do this by partnering with key stakeholders to be curious and comfortable digging deep into the business challenges to understand and identify insights that will enable us to figure out standards to improve our ability to globally scale this program. They will be comfortable delivering/presenting these recommended solutions by retrieving and integrating artifacts in a format that is immediately useful to improve the business decision-making process. This role requires an individual with excellent analytical abilities as well as an outstanding business acumen. The candidate knows and values our customers (internal and external) and will work back from the customer to create structured processes for global expansions of work authorization, and help integrate new countries/new acquisitions into the existing program. They are experts in partnering and earning trust with operations/business leaders to drive these key business decisions. Responsibilities Own the development and maintenance of new and existing artifacts focused on analysis of requirements, metrics, and reporting dashboards. Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs. Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks. Participate in strategic and tactical planning discussions. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs. Excellent writing skills, to create artifacts easily digestible by business and tech partners. Key job responsibilities Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Basic Qualifications 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages 1+ years of tax, finance or a related analytical field experience Preferred Qualifications Experience in Amazon Redshift and other AWS technologies Experience creating complex SQL queries joining multiple datasets, ETL DW concepts Experience in SCALA and Pyspark Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3009262 Show more Show less

Description Are you passionate about solving business challenges at a global scale? Amazon Employee Services is looking for an experienced Business Analyst to join Retail Business Services team and help unlock insights which take our business to the next level. The candidate will be excited about understanding and implementing new and repeatable processes to improve our employee global work authorization experiences. They will do this by partnering with key stakeholders to be curious and comfortable digging deep into the business challenges to understand and identify insights that will enable us to figure out standards to improve our ability to globally scale this program. They will be comfortable delivering/presenting these recommended solutions by retrieving and integrating artifacts in a format that is immediately useful to improve the business decision-making process. This role requires an individual with excellent analytical abilities as well as an outstanding business acumen. The candidate knows and values our customers (internal and external) and will work back from the customer to create structured processes for global expansions of work authorization, and help integrate new countries/new acquisitions into the existing program. They are experts in partnering and earning trust with operations/business leaders to drive these key business decisions. Responsibilities Own the development and maintenance of new and existing artifacts focused on analysis of requirements, metrics, and reporting dashboards. Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs. Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks. Participate in strategic and tactical planning discussions. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs. Excellent writing skills, to create artifacts easily digestible by business and tech partners. Key job responsibilities Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Basic Qualifications 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages 1+ years of tax, finance or a related analytical field experience Preferred Qualifications Experience in Amazon Redshift and other AWS technologies Experience creating complex SQL queries joining multiple datasets, ETL DW concepts Experience in SCALA and Pyspark Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3009262 Show more Show less

Overview C5i C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making. C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms. Global offices United States | Canada | United Kingdom | United Arab of Emirates | India Job Summary We are looking for experienced Data Modelers to support large-scale data engineering and analytics initiatives. The role involves developing logical and physical data models, working closely with business and engineering teams to define data requirements, and ensuring alignment with enterprise standards. • Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies. • Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. • Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. • Drive collaborative reviews of data model design, code, data, security features to drive data product development. • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model. • Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping. • Partner with the data stewards team for data discovery and action by business customers and stakeholders. • Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. • Assist with data planning, sourcing, collection, profiling, and transformation. • Support data lineage and mapping of source system data to canonical data stores. • Create Source to Target Mappings (STTM) for ETL and BI developers. Skills needed: • Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) • Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. • Experience with version control systems like GitHub and deployment & CI tools. • Experience of metadata management, data lineage, and data glossaries is a plus. • Working knowledge of agile development, including DevOps and DataOps concepts. • Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail. C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations. Show more Show less

Designation: Solution Architect Office Location: Gurgaon Position Description: As a Solution Architect, you will be responsible for leading the development and delivery of the platforms. This includes overseeing the entire product lifecycle from the solution until execution and launch, building the right team & close collaboration with business and product teams. Primary Responsibilities: Design end-to-end solutions that meet business requirements and align with the enterprise architecture. Define the architecture blueprint, including integration, data flow, application, and infrastructure components. Evaluate and select appropriate technology stacks, tools, and frameworks. Ensure proposed solutions are scalable, maintainable, and secure. Collaborate with business and technical stakeholders to gather requirements and clarify objectives. Act as a bridge between business problems and technology solutions. Guide development teams during the execution phase to ensure solutions are implemented according to design. Identify and mitigate architectural risks and issues. Ensure compliance with architecture principles, standards, policies, and best practices. Document architectures, designs, and implementation decisions clearly and thoroughly. Identify opportunities for innovation and efficiency within existing and upcoming solutions. Conduct regular performance and code reviews, and provide feedback to the development team members to improve professional development. Lead proof-of-concept initiatives to evaluate new technologies. Functional Responsibilities: Facilitate daily stand-up meetings, sprint planning, sprint review, and retrospective meetings. Work closely with the product owner to priorities the product backlog and ensure that user stories are well-defined and ready for development. Identify and address issues or conflicts that may impact project delivery or team morale. Experience with Agile project management tools such as Jira and Trello. Required Skills: Bachelor's degree in Computer Science, Engineering, or related field. 7+ years of experience in software engineering, with at least 3 years in a solution architecture or technical leadership role. Proficiency with AWS or GCP cloud platform. Strong implementation knowledge in JS tech stack, NodeJS, ReactJS, Experience with JS stack - ReactJS, NodeJS. Experience with Database Engines - MySQL and PostgreSQL with proven knowledge of Database migrations, high throughput and low latency use cases. Experience with key-value stores like Redis, MongoDB and similar. Preferred knowledge of distributed technologies - Kafka, Spark, Trino or similar with proven experience in event-driven data pipelines. Proven experience with setting up big data pipelines to handle high volume transactions and transformations. Experience with BI tools - Looker, PowerBI, Metabase or similar. Experience with Data warehouses like BigQuery, Redshift, or similar. Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and IaC (Terraform/CloudFormation). Good to Have: Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, TOGAF, etc. Experience setting up analytical pipelines using BI tools (Looker, PowerBI, Metabase or similar) and low-level Python tools like Pandas, Numpy, PyArrow Experience with data transformation tools like DBT, SQLMesh or similar. Experience with data orchestration tools like Apache Airflow, Kestra or similar. Work Environment Details: About Affle: Affle is a global technology company with a proprietary consumer intelligence platform that delivers consumer engagement, acquisitions, and transactions through relevant Mobile Advertising. The platform aims to enhance returns on marketing investment through contextual mobile ads and also by reducing digital ad fraud. While Affle's Consumer platform is used by online & offline companies for measurable mobile advertising, its Enterprise platform helps offline companies to go online through platform-based app development, enablement of O2O commerce and through its customer data platform. Affle India successfully completed its IPO in India on 08. Aug.2019 and now trades on the stock exchanges (BSE: 542752 & NSE:AFFLE). Affle Holdings is the Singapore based promoter for Affle India and its investors include Microsoft, Bennett Coleman &Company (BCCL) amongst others. For more details: www.affle.com About BU : Ultra - Access deals, coupons, and walled gardens based user acquisition on a single platform to offer bottom-funnel optimization across multiple inventory sources. For more details, please visit: https://www.ultraplatform.io/ Show more Show less

Description Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities Apply multi-domain/process expertise in day to day activities and own end to end roadmap. Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. Define analytical approach; review and vet analytical approach with stakeholders. Proactively and independently work with stakeholders to construct use cases and associated standardized outputs Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) When needed, pull data from multiple similar sources to triangulate on data fidelity Actively manage the timeline and deliverables of projects, focusing on interactions in the team Provide program communications to stakeholders Communicate roadblocks to stakeholders and propose solutions Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes Have the capability to handle large data sets in analysis through the use of additional tools Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved Communicate complex analytical insights and business implications effectively About The Team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3009286 Show more Show less

Role: Data Engineering Lead Experience: 7-10 Years Location: Hyderabad We need immediate joiners only (Max. 15 days) This is work from office role-5 days (No Hybrid/ Remote opportunities) We are looking for candidates with strong experience in data architecture About company: We provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes . Job Description: We are looking for an accomplished and dynamic Data Engineering Lead to join our team and drive the design, development, and delivery of cutting-edge data solutions. This role requires a balance of strong technical expertise, strategic leadership, and a consulting mindset. As the Lead Data Engineer, you will oversee the design and development of robust data pipelines and systems, manage and mentor a team of 5 to 7 engineers, and play a critical role in architecting innovative solutions tailored to client needs. You will lead by example, fostering a culture of accountability, ownership, and continuous improvement while delivering impactful, scalable data solutions in a fast-paced, consulting environment. Key Responsibilities:- Client Collaboration Act as the primary point of contact for US-based clients, ensuring alignment on project goals, timelines, and deliverables. Engage with stakeholders to understand requirements and ensure alignment throughout the project lifecycle. Present technical concepts and designs to both technical and non-technical audiences. Communicate effectively with stakeholders to ensure alignment on project goals, timelines, and deliverables. Set realistic expectations with clients and proactively address concerns or risks. Data Solution Design And Development Architect, design, and implement end-to-end data pipelines and systems that handle large-scale, complex datasets. Ensure optimal system architecture for performance, scalability, and reliability. Evaluate and integrate new technologies to enhance existing solutions. Implement best practices in ETL/ELT processes, data integration, and data warehousing. Project Leadership And Delivery Lead technical project execution, ensuring timelines and deliverables are met with high quality. Collaborate with cross-functional teams to align business goals with technical solutions. Act as the primary point of contact for clients, translating business requirements into actionable technical strategies. Team Leadership And Development Manage, mentor, and grow a team of 5 to 7 data engineers; Ensure timely follow-ups on action items and maintain seamless communication across time zones. Conduct code reviews, validations, and provide feedback to ensure adherence to technical standards. Provide technical guidance and foster an environment of continuous learning, innovation, and collaboration. Support collaboration and alignment between the client and delivery teams. Optimization And Performance Tuning Be hands-on in developing, testing, and documenting data pipelines and solutions as needed. Analyze and optimize existing data workflows for performance and cost-efficiency. Troubleshoot and resolve complex technical issues within data systems. Adaptability And Innovation Embrace a consulting mindset with the ability to quickly learn and adopt new tools, technologies, and frameworks. Identify opportunities for innovation and implement cutting-edge technologies in data engineering. Exhibit a "figure it out" attitude, taking ownership and accountability for challenges and solutions. Learning And Adaptability Stay updated with emerging data technologies, frameworks, and tools. Actively explore and integrate new technologies to improve existing workflows and solutions. Internal Initiatives And Eminence Building Drive internal initiatives to improve processes, frameworks, and methodologies. Contribute to the organization’s eminence by developing thought leadership, sharing best practices, and participating in knowledge-sharing activities. Qualifications Education Bachelor’s or master’s degree in computer science, Data Engineering, or a related field. Certifications in cloud platforms such as Snowflake Snowpro, Data Engineer is a plus. Experience 8+ years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization Demonstrated success in managing global teams, especially across US and India time zones. Proven track record in leading data engineering teams and managing end-to-end project delivery. Strong background in data warehousing and familiarity with tools such as Matillion, dbt, Striim, etc. Technical Skills Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs Expertise in programming languages such as Python, Scala, or Java. Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc. Solid understanding of database systems (relational and NoSQL) and data modeling techniques. Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt. Strong knowledge of data engineering and integration frameworks. Expertise in architecting data solutions. Successfully implemented at least two end-to-end projects with multiple transformation layers. Good grasp of coding standards, with the ability to define standards and testing strategies for projects. Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services. Enthusiastic about working in Agile methodology. Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines. Soft Skills Exceptional problem-solving and analytical skills. Strong communication and interpersonal skills to manage client relationships and team dynamics. Ability to thrive in a consulting environment, quickly adapting to new challenges and domains. Ability to handle ambiguity and proactively take ownership of challenges. Demonstrated accountability, ownership, and a proactive approach to solving problems. Why Join Us? Be at the forefront of data innovation and lead impactful projects. Work with a collaborative and forward-thinking team. Opportunity to mentor and develop talent in the data engineering space. Competitive compensation and benefits package. Skills: etl/elt processes,cloud platforms (aws, azure, gcp),data pipeline development,python,sql, nosql & data modeling,data modeling techniques,data engineering,data warehousing,programming languages (python, scala, java),devops process,ci/cd pipelines,data integration,system optimization,azure,agile methodology,github integration,data architecture,aws Show more Show less

Title - QA Manual Testing Experience - 5-8 Years Location - Pune & Gurgaon (Hybrid) Key Responsibilities: Understand business requirements and data flows to create comprehensive test plans and test cases for ETL jobs. Perform data validation and reconciliation between source systems, staging, and target data stores (DWH, data lakes, etc.). Develop and execute automated and manual tests to ensure data accuracy and quality. Work with SQL queries to validate data transformations and detect anomalies. Identify, document, and track defects and inconsistencies in data processing. Collaborate with data engineering and BI teams to improve ETL processes and data pipelines. Maintain QA documentation and contribute to continuous process improvements. Must Have Skills: Strong SQL skills – ability to write complex queries for data validation and transformation testing. Hands-on experience in ETL testing – validating data pipelines, transformations, and data loads. Knowledge of data warehousing concepts – dimensions, facts, slowly changing dimensions (SCD), etc. Experience in test case design, execution, and defect tracking . Experience with QA tools like JIRA , TestRail , or equivalent. Ability to work independently and collaboratively in an Agile/Scrum environment. Good to Have Skills: Experience with ETL tools like Informatica, Talend, DataStage , or Azure/AWS/GCP native ETL services (e.g., Dataflow, Glue). Knowledge of automation frameworks using Python/Selenium/pytest or similar tools for data testing. Familiarity with cloud data platforms – Snowflake, BigQuery, Redshift, etc. Basic understanding of CI/CD pipelines and QA integration. Exposure to data quality tools such as Great Expectations , Deequ , or DQ frameworks . Understanding of reporting/BI tools such as Power BI, Tableau, or Looker. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Show more Show less

Job Description: Data Analyst - Bizapps Team , Bangalore location Who are we? Whatfix is a data-driven digital adoption platform (DAP) that enables organizations and users to maximize the benefits of software. Whatfix acts as an interactive overlay on top of any application to guide users with real-time guidance, self-help support, and user feedback. With product analytics and AI, Whatfix enables scalable success with technology, maximizing productivity, and leveraging data-driven insights for better decision-making. The company has seven offices globally in the US, India, UK, Germany, Singapore, and Australia, and works with Fortune 500 companies around the world. Whatfix has raised $140 million to date and is backed by marquee investors including Softbank, Sequoia, Dragoneer, and Cisco Investments. “Hustle Mode ON” is the motto we live by. Whatfix has been named among the top 20 B2B tech companies like Adobe, PayPal, and Cisco. With YoY revenue growth of over 65%, we have also been recognized among the top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list. Recognized by Forrester and Everest Group as a 'Leader' in the digital adoption space, and listed by LinkedIn among one of the Top 5 startups in India in 2020 Listed in Deloitte Technology Fast 500™ among fastest-growing companies in North America for 2022 and 2021 and recognized as Great Place to Work 2022-2023 Whatfix has been named a Silver Winner in Stevie's Employer of the Year 2023. Our Customer centricity is also evident from a Customer rating of 4.67 on G2 Crowd & 4.7 on Gartner Peer Insights Whatfix is disrupting the way Application Support and Learning content is consumed by providing Contextual and Interactive WalkThroughs inside enterprise applications when a task is being performed. We provide enterprises with a Software Platform that allows them to create Interactive Guides or Flows that sit as an overlay inside any web application. Flows are Contextual—they appear based on where you are in the application (location) and who you are (role). Optimal performance and adoption of any web application are attained when there is easy access to Contextual Information inside the application when a task is being performed. What would you get to do? The Bizapps team at Whatfix is responsible for enabling the company’s operational excellence by building and managing key internal business applications that support various departments like Sales, Marketing, Customer Success, Finance, and Operations. The team is focused on providing data-driven insights, streamlining workflows, and enhancing productivity through scalable technology solutions. We are building this team from the ground up and looking for a Data Analyst who will play a critical role in analyzing, reporting, and driving improvements across internal business processes. As a Data Analyst in the Bizapps team , you will be responsible for analyzing internal business data, creating dashboards, and providing actionable insights that influence key decision-making processes. You will collaborate with cross-functional teams, including Product, Sales, Marketing, and Operations, to develop data-driven solutions and optimize business performance. This role offers the opportunity to work in a fast-paced environment with high impact and visibility. Key Responsibilities Data Analysis & Reporting: Analyze large and complex datasets to identify patterns, trends, and opportunities for business growth and operational improvements. Dashboard Development: Design, build, and maintain interactive dashboards and visualizations to provide actionable insights for stakeholders. Performance Monitoring: Track key performance indicators (KPIs) for various business processes, including sales pipeline, marketing campaigns, revenue, and customer success metrics. Data Quality & Governance: Ensure accuracy, completeness, and consistency of data across internal systems, identifying and resolving data discrepancies. Collaboration: Work closely with the Engineering, SalesOps, MarketingOps, and Finance teams to gather requirements, define metrics, and implement data models for key business applications. Process Optimization: Provide recommendations to streamline workflows and improve data integration across tools like CRM, ERP, marketing automation platforms, and other business applications. Predictive Insights: Support decision-making through predictive analysis using statistical techniques and machine learning models (if applicable). Who you are ? Education: Bachelor’s degree in data science, Statistics, Computer Science, Business Analytics, or a related field . Master’s degree is a plus. Experience: 4- 8 years of relevant experience in data analysis, preferably in a business applications or SaaS environment. Technical Proficiency: Strong knowledge of SQL and ability to query large databases. Experience with BI tools such as Tableau, Power BI, Looker, or Domo . Familiarity with CRM systems like Salesforce , HubSpot , or other internal business platforms. Knowledge of Excel (advanced level) and scripting languages like Python/R is a plus. Data Modeling: Experience in designing data models, building ETL pipelines, or working with data warehouses (e.g., Snowflake, Redshift). Communication Skills: Ability to translate complex data insights into clear, concise, and actionable recommendations for both technical and non-technical stakeholders. Problem-Solving: Analytical mindset with strong problem-solving abilities to address business challenges using data-driven approaches. Preferred Skills Experience in working with or managing internal business applications (e.g., CRMs, ERPs, or financial systems). Knowledge of data governance, data lineage, and best practices for managing enterprise data . Familiarity with AI/ML models and advanced data analytics techniques. Exposure to cloud data platforms (e.g., AWS, Azure, GCP). Why Join the Bizapps Team at Whatfix? Opportunity to be part of a ground-up team that directly impacts internal business operations. Work on cutting-edge data solutions in a dynamic, collaborative environment. Exposure to cross-functional collaboration with senior stakeholders. Competitive compensation and opportunities for career growth within a rapidly scaling company. Note: We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust, Do it as you own it. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status Show more Show less

Location: Pan india Experience: 8+years AWS, Redshift, Spotfire This role focuses on leveraging AWS Redshift to develop, manage, and optimize data warehousing solutions. You will work closely with data scientists, analysts, and IT teams to ensure high performance and availability of data for business insights. Also able to report the analytics via Spotfire reports Responsibilities Design, deploy, and manage AWS Redshift clusters. Optimize query performance and resource management within Redshift. Implement and manage data security and compliance protocols. Monitor and troubleshoot data warehousing processes. Collaborate with data engineering and analytics teams to define requirements. Develop and maintain ETL pipelines for data integration. Conduct regular backup and recovery processes. Requirements Proven experience in managing AWS Redshift environments. Strong background in data warehousing and database management. Reporting experience using TIBCO Spotfire Experience with ETL processes and data integration. Understanding of cloud architecture and services. Excellent problem-solving and analytical skills. Show more Show less

Job Summary We are seeking an experienced Data Architect with expertise in Snowflake, dbt, Apache Airflow, and AWS to design, implement, and optimize scalable data solutions. The ideal candidate will play a critical role in defining data architecture, governance, and best practices while collaborating with cross-functional teams to drive data-driven decision-making. Key Responsibilities Data Architecture & Strategy: Design and implement scalable, high-performance cloud-based data architectures on AWS. Define data modelling standards for structured and semi-structured data in Snowflake. Establish data governance, security, and compliance best practices. Data Warehousing & ETL/ELT Pipelines: Develop, maintain, and optimize Snowflake-based data warehouses. Implement dbt (Data Build Tool) for data transformation and modelling. Design and schedule data pipelines using Apache Airflow for orchestration. Cloud & Infrastructure Management: Architect and optimize data pipelines using AWS services like S3, Glue, Lambda, and Redshift. Ensure cost-effective, highly available, and scalable cloud data solutions. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to align data solutions with business goals. Provide technical guidance and mentoring to the data engineering team. Performance Optimization & Monitoring: Optimize query performance and data processing within Snowflake. Implement logging, monitoring, and alerting for pipeline reliability. Required Skills & Qualifications 10+ years of experience in data architecture, engineering, or related roles. Strong expertise in Snowflake, including data modeling, performance tuning, and security best practices. Hands-on experience with dbt for data transformations and modeling. Proficiency in Apache Airflow for workflow orchestration. Strong knowledge of AWS services (S3, Glue, Lambda, Redshift, IAM, EC2, etc.). Experience with SQL, Python, or Spark for data processing. Familiarity with CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation) is a plus. Strong understanding of data governance, security, and compliance (GDPR, HIPAA, etc.). Preferred Qualifications Certifications: AWS Certified Data Analytics – Specialty, Snowflake SnowPro Certification, or dbt Certification. Experience with streaming technologies (Kafka, Kinesis) is a plus. Knowledge of modern data stack tools (Looker, Power BI, etc.). Experience in OTT streaming could be added advantage. 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 Lemongrass Lemongrass is a software-enabled services provider, synonymous with SAP on Cloud, focused on delivering superior, highly automated Managed Services to Enterprise customers. Our customers span multiple verticals and geographies across the Americas, EMEA and APAC. We partner with AWS, SAP, Microsoft and other global technology leaders. We are seeking an experienced Cloud Data Engineer with a strong background in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, Databricks, Synapse, Snowflake and others is essential. Familiarity with data extraction from SAP or ERP systems is a plus. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.). Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP). Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse. Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others. Develop and optimize data processing jobs using Spark Scala. Data Integration and Management: Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake. Ensure data quality and integrity through rigorous testing and validation. Perform data extraction from SAP or ERP systems when necessary. Performance Optimization: Monitor and optimize the performance of data pipelines and ETL processes. Implement best practices for data management, including data governance, security, and compliance. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Collaborate with cross-functional teams to design and implement data solutions that meet business needs. Documentation and Maintenance: Document technical solutions, processes, and workflows. Maintain and troubleshoot existing ETL pipelines and data integrations. Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. Experience: 7+ years of experience as a Data Engineer or in a similar role. Proven experience with cloud platforms: AWS, Azure, and GCP. Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. Experience in building and managing data lakes and data warehouses. Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing. Skills: Strong programming skills in Python, Java, or Scala. Proficient in SQL and query optimization techniques. Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts. Knowledge of data governance, security, and compliance best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with other data tools and technologies such as Apache Spark, or Hadoop. Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate). Experience with CI/CD pipelines and DevOps practices for data engineering Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law. What we offer in return: Remote Working: Lemongrass always has been and always will offer 100% remote work Flexibility: Work where and when you like most of the time Training: A subscription to A Cloud Guru and generous budget for taking certifications and other resources you’ll find helpful State of the art tech: An opportunity to learn and run the latest industry standard tools Team: Colleagues who will challenge you giving the chance to learn from them and them from you Lemongrass Consulting is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, religion, color, national origin, religious creed, gender, sexual orientation, gender identity, gender expression, age, genetic information, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics Show more Show less