LeewayHertz

Job Description Job Description : We are seeking a highly experienced and innovative Senior Data Engineer with a strong background in hybrid cloud data integration, pipeline orchestration, and AI-driven data modeling. This role is responsible for designing, building, and optimizing robust, scalable, and production-ready data pipelines across both AWS and Azure platforms, supporting modern data architectures such as CEDM and Data Vault 2.0. Responsibilities Design and develop hybrid ETL/ELT pipelines using AWS Glue and Azure Data Factory (ADF). Process files from AWS S3 and Azure Data Lake Gen2, including schema validation and data profiling. Implement event-based orchestration using AWS Step Functions and Apache Airflow (Astronomer). Develop and maintain bronze → silver → gold data layers using DBT or Coalesce. Create scalable ingestion workflows using Airbyte, AWS Transfer Family, and Rivery. Integrate with metadata and lineage tools like Unity Catalog and OpenMetadata. Build reusable components for schema enforcement, EDA, and alerting (e.g., MS Teams). Work closely with QA teams to integrate test automation and ensure data quality. Collaborate with cross-functional teams including data scientists and business stakeholders to align solutions with AI/ML use cases. Document architectures, pipelines, and workflows for internal stakeholders. Requirements Essential Skills: Job Experience with cloud platforms: AWS (Glue, Step Functions, Lambda, S3, CloudWatch, SNS, Transfer Family) and Azure (ADF, ADLS Gen2, Azure Functions,Event Grid). Skilled in transformation and ELT tools: Databricks (PySpark), DBT, Coalesce, and Python. Proficient in data ingestion using Airbyte, Rivery, SFTP/Excel files, and SQL Server extracts. Strong understanding of data modeling techniques including CEDM, Data Vault 2.0, and Dimensional Modeling. Hands-on experience with orchestration tools such as AWS Step Functions, Airflow (Astronomer), and ADF Triggers. Expertise in monitoring and logging with CloudWatch, AWS Glue Metrics, MS Teams Alerts, and Azure Data Explorer (ADX). Familiar with data governance and lineage tools: Unity Catalog, OpenMetadata, and schema drift detection. Proficient in version control and CI/CD using GitHub, Azure DevOps, CloudFormation, Terraform, and ARM templates. Experienced in data validation and exploratory data analysis with pandas profiling, AWS Glue Data Quality, and Great Expectations. Personal Excellent communication and interpersonal skills, with the ability to engage with teams. Strong problem-solving, decision-making, and conflict-resolution abilities. Proven ability to work independently and lead cross-functional teams. Ability to work in a fast-paced, dynamic environment and handle sensitive issues with discretion and professionalism. Ability to maintain confidentiality and handle sensitive information with attention to detail with discretion. The candidate must have strong work ethics and trustworthiness Must be highly collaborative and team oriented with commitment to excellence. Preferred Skills Job Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data and AI services. Knowledge of ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica). Deep understanding of AI/Generative AI concepts and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs). Experience with data modeling, data structures, and database design. Proficiency with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka). Personal Demonstrate proactive thinking Should have strong interpersonal relations, expert business acumen and mentoring skills Have the ability to work under stringent deadlines and demanding client conditions Ability to work under pressure to achieve the multiple daily deadlines for client deliverables with a mature approach Other Relevant Information Bachelor’s in Engineering with specialization in Computer Science or Artificial Intelligence or Information Technology or a related field. 9+ years of experience in data engineering and data architecture. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Description Job Summary: We are seeking a talented and creative Motion Video Designer with 2–4 years of experience in motion graphics and video production. You will be responsible for creating high-quality explainer videos, animations, and product walkthroughs that simplify and visually communicate complex AI and technical concepts. This role requires a strong blend of storytelling, design, and technical execution, with a focus on clarity, branding, and audience engagement. Responsibilities Design and produce animated videos, including explainer videos, product demos, tutorials, and promotional content. Collaborate with product managers, marketing, and AI/tech teams to conceptualize motion content based on technical briefs. Translate complex and abstract concepts into simple, engaging visual stories. Develop storyboards and visual flow that align with messaging goals. Integrate voice-overs, subtitles, music, and visual effects into the final output. Ensure brand consistency, professional quality, and timely delivery of video projects. Stay up-to-date with motion design trends, new tools, and techniques. Requirements Essential Skills: Job Technical Skills Strong proficiency in Adobe After Effects (including plugins like Element 3D, Duik, or Trapcode). Proficient in Adobe Creative Suite (Photoshop, Illustrator) and Figma. Experience with 2D/3D animation, compositing, and visual effects. Working knowledge of audio syncing, voiceover integration, and video rendering formats (e.g., MP4, HD1080p). Content Creation Skills Ability to create technical and informative animations for software products. Experience with product explainers, corporate presentations, and tutorial-style videos. Capability to visualize user journeys and product features through clear animations. Communication Skills Strong command of written and verbal English. Able to interpret briefs, explain creative choices, and collaborate with non-design teams effectively. Personal Strong attention to detail and visual storytelling. Creativity paired with a problem-solving mindset. Ability to work independently and meet deadlines. Team-oriented attitude with openness to feedback. Preferred Skills Job Experience in creating storyboards. Exposure to AI-powered video tools or plugins (e.g., Runway ML, Pika). Understanding of SaaS platforms and UI/UX motion principles. Personal Passion for innovation and digital design. Curious to learn about new tech tools and motion trends. Enthusiastic about simplifying complex content for wider audiences. Proactive in acquiring new knowledge and staying updated with industry trends. Other Relevant Information Bachelor’s degree or diploma in Animation, Multimedia Design, Visual Communication, Graphic Design, Fine Arts, or a related field. 2 to 4 years of professional experience in motion graphics, animation, or video production. Strong portfolio showcasing animated explainer videos, product demos, and storytelling ability in a technical or digital product context. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Description Job Summary: We are seeking a talented and creative Motion Video Designer with 2–4 years of experience in motion graphics and video production. You will be responsible for creating high-quality explainer videos, animations, and product walkthroughs that simplify and visually communicate complex AI and technical concepts. This role requires a strong blend of storytelling, design, and technical execution, with a focus on clarity, branding, and audience engagement. Responsibilities Design and produce animated videos, including explainer videos, product demos, tutorials, and promotional content. Collaborate with product managers, marketing, and AI/tech teams to conceptualize motion content based on technical briefs. Translate complex and abstract concepts into simple, engaging visual stories. Develop storyboards and visual flow that align with messaging goals. Integrate voice-overs, subtitles, music, and visual effects into the final output. Ensure brand consistency, professional quality, and timely delivery of video projects. Stay up-to-date with motion design trends, new tools, and techniques. Requirements Essential Skills: Job Technical Skills Strong proficiency in Adobe After Effects (including plugins like Element 3D, Duik, or Trapcode). Proficient in Adobe Creative Suite (Photoshop, Illustrator) and Figma. Experience with 2D/3D animation, compositing, and visual effects. Working knowledge of audio syncing, voiceover integration, and video rendering formats (e.g., MP4, HD1080p). Content Creation Skills Ability to create technical and informative animations for software products. Experience with product explainers, corporate presentations, and tutorial-style videos. Capability to visualize user journeys and product features through clear animations. Communication Skills Strong command of written and verbal English. Able to interpret briefs, explain creative choices, and collaborate with non-design teams effectively. Personal Strong attention to detail and visual storytelling. Creativity paired with a problem-solving mindset. Ability to work independently and meet deadlines. Team-oriented attitude with openness to feedback. Preferred Skills Job Experience in creating storyboards. Exposure to AI-powered video tools or plugins (e.g., Runway ML, Pika). Understanding of SaaS platforms and UI/UX motion principles. Personal Passion for innovation and digital design. Curious to learn about new tech tools and motion trends. Enthusiastic about simplifying complex content for wider audiences. Proactive in acquiring new knowledge and staying updated with industry trends. Other Relevant Information Bachelor’s degree or diploma in Animation, Multimedia Design, Visual Communication, Graphic Design, Fine Arts, or a related field. 2 to 4 years of professional experience in motion graphics, animation, or video production. Strong portfolio showcasing animated explainer videos, product demos, and storytelling ability in a technical or digital product context. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Description We are seeking a highly experienced and innovative Senior Data Engineer with a strong background in hybrid cloud data integration, pipeline orchestration, and AI-driven data modeling. This role is responsible for designing, building, and optimizing robust, scalable, and production-ready data pipelines across both AWS and Azure platforms, supporting modern data architectures such as CEDM and Data Vault 2.0. Responsibilities Design and develop hybrid ETL/ELT pipelines using AWS Glue and Azure Data Factory (ADF). Process files from AWS S3 and Azure Data Lake Gen2, including schema validation and data profiling. Implement event-based orchestration using AWS Step Functions and Apache Airflow (Astronomer). Develop and maintain bronze → silver → gold data layers using DBT or Coalesce. Create scalable ingestion workflows using Airbyte, AWS Transfer Family, and Rivery. Integrate with metadata and lineage tools like Unity Catalog and OpenMetadata. Build reusable components for schema enforcement, EDA, and alerting (e.g., MS Teams). Work closely with QA teams to integrate test automation and ensure data quality. Collaborate with cross-functional teams including data scientists and business stakeholders to align solutions with AI/ML use cases. Document architectures, pipelines, and workflows for internal stakeholders. Requirements Essential Skills: Job Experience with cloud platforms: AWS (Glue, Step Functions, Lambda, S3, CloudWatch, SNS, Transfer Family) and Azure (ADF, ADLS Gen2, Azure Functions,Event Grid). Skilled in transformation and ELT tools: Databricks (PySpark), DBT, Coalesce, and Python. Proficient in data ingestion using Airbyte, Rivery, SFTP/Excel files, and SQL Server extracts. Strong understanding of data modeling techniques including CEDM, Data Vault 2.0, and Dimensional Modeling. Hands-on experience with orchestration tools such as AWS Step Functions, Airflow (Astronomer), and ADF Triggers. Expertise in monitoring and logging with CloudWatch, AWS Glue Metrics, MS Teams Alerts, and Azure Data Explorer (ADX). Familiar with data governance and lineage tools: Unity Catalog, OpenMetadata, and schema drift detection. Proficient in version control and CI/CD using GitHub, Azure DevOps, CloudFormation, Terraform, and ARM templates. Experienced in data validation and exploratory data analysis with pandas profiling, AWS Glue Data Quality, and Great Expectations. Personal Excellent communication and interpersonal skills, with the ability to engage with teams. Strong problem-solving, decision-making, and conflict-resolution abilities. Proven ability to work independently and lead cross-functional teams. Ability to work in a fast-paced, dynamic environment and handle sensitive issues with discretion and professionalism. Ability to maintain confidentiality and handle sensitive information with attention to detail with discretion. The candidate must have strong work ethics and trustworthiness Must be highly collaborative and team oriented with commitment to excellence. Preferred Skills Job Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data and AI services. Knowledge of ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica). Deep understanding of AI/Generative AI concepts and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs). Experience with data modeling, data structures, and database design. Proficiency with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka). Personal Demonstrate proactive thinking Should have strong interpersonal relations, expert business acumen and mentoring skills Have the ability to work under stringent deadlines and demanding client conditions Ability to work under pressure to achieve the multiple daily deadlines for client deliverables with a mature approach Other Relevant Information Bachelor’s in Engineering with specialization in Computer Science or Artificial Intelligence or Information Technology or a related field. 9+ years of experience in data engineering and data architecture. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Summary We are seeking a Technical Lead with over 6+ years of experience in backend development and cloud-native applications. The ideal candidate should possess deep expertise in Python (Django/FastAPI), robust database design, and modern DevOps practices on AWS. This role combines hands-on backend development with leadership responsibilities including team mentorship, architecture design, code quality enforcement, CI/CD setup, and secure, scalable backend deployment strategies. Requirements Responsibilities Architect and develop scalable backend services using Django and FastAPI (Python). Design and optimize database schemas for both MongoDB (NoSQL) and PostgreSQL. Implement authentication, authorization, and API security mechanisms. Hands-on experience with Javascript. Manage and deploy backend applications on AWS, including EC2, ECS, RDS, Lambda, and S3. Set up and manage CI/CD pipelines using tools like AWS CodePipeline and Jenkins. Lead backend code reviews to enforce quality, performance, and security standards. Mentor backend engineers through pair programming, 1:1 sessions, and technical feedback. Manage version control and branching strategies to ensure clean, stable backend releases. Handle production deployments, ensuring rollback strategies and zero-downtime practices. Essential Skills Job Strong backend development experience, preferably in Python (Django/FastAPI). In-depth knowledge of MongoDB and PostgreSQL, including schema design and performance tuning. 6+ years of experience focused on backend engineering and cloud infrastructure. Expertise in code reviews, Git-based version control, and CI/CD pipelines. Solid grasp of DevOps tools and AWS services related to backend deployment. Deep understanding of API standards, secure coding practices, and production-grade systems. deployments. Personal Proven leadership skills and experience mentoring backend teams. Excellent communication skills and ability to coordinate across technical and non-technical stakeholders. Strong ownership of backend deliverables and delivery timelines. Strategic, solution-oriented thinking in system architecture and planning. Passion for building scalable, maintainable, and high-performance backend systems. Preferred Skills Job Experience with microservices architecture and containerization tools (Docker/Kubernetes). Knowledge of asynchronous programming, caching, and API performance optimization. Hands-on experience with Javascript. Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK, or CloudWatch. Understanding of serverless architecture and event-driven systems (AWS Lambda, SNS/SQS). Exposure to infrastructure as code (IaC) using Terraform or CloudFormation. Experience in backend unit and integration testing frameworks (e.g., PyTest). Familiarity with API documentation tools (e.g., Swagger/OpenAPI). Awareness of data privacy and compliance regulations (e.g., GDPR, HIPAA). Personal Strong technical mentorship and team-building skills. High sense of ownership and accountability for backend quality and uptime. Analytical mindset with excellent problem-solving skills. Proactive in driving improvements in backend architecture and performance. Adaptable in dynamic environments with the ability to prioritize and manage multiple tasks. Commitment to continuous learning and professional development. Adaptable and resilient to shifting project goals, with a solutions-first attitude. Other Relevant Information Bachelor’s in Engineering with specialization in Computer Science or Artificial Intelligence or Information Technology or a related field. This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

You will be responsible for architecting and developing scalable backend services using Python (Django/FastAPI) and optimizing database schemas for MongoDB and PostgreSQL. In addition to this, you will implement authentication, authorization, and API security mechanisms while managing and deploying backend applications on AWS. Your role will also involve setting up CI/CD pipelines and leading backend code reviews to enforce quality, performance, and security standards. As a Technical Lead, you will mentor backend engineers, manage version control, and ensure smooth production deployments with zero-downtime practices. The ideal candidate for this position should have strong backend development experience with a focus on Python (Django/FastAPI) and extensive knowledge of MongoDB and PostgreSQL, including schema design and performance tuning. You should have at least 6 years of experience in backend engineering and cloud infrastructure, along with expertise in code reviews, Git-based version control, and CI/CD pipelines. A solid understanding of DevOps tools and AWS services related to backend deployment is essential, as well as a deep grasp of API standards, secure coding practices, and production-grade systems deployments. In addition to technical skills, you should possess proven leadership abilities and experience in mentoring backend teams. Excellent communication skills, strong ownership of backend deliverables, and strategic thinking in system architecture and planning are key attributes for this role. Preferred skills include experience with microservices architecture, containerization tools, asynchronous programming, caching, API performance optimization, monitoring and logging tools, serverless architecture, infrastructure as code, testing frameworks, API documentation tools, and data privacy regulations. A Bachelor's degree in Engineering with a specialization in Computer Science, Artificial Intelligence, Information Technology, or a related field is required for this position. This role offers the flexibility of working remotely in India.,

You will be working as a Technical Lead in a remote position with a focus on backend development and cloud-native applications. With over 6+ years of experience, your expertise should lie in Python (Django/FastAPI), database design, and modern DevOps practices on AWS. Your responsibilities will include architecting and developing scalable backend services, designing optimized database schemas, implementing security mechanisms, managing CI/CD pipelines, conducting code reviews, and providing mentorship to backend engineers. Your essential skills should encompass strong backend development experience in Python, knowledge of MongoDB and PostgreSQL, extensive experience in backend engineering and cloud infrastructure, proficiency in code reviews, Git-based version control, and CI/CD pipelines, as well as a solid understanding of DevOps tools and AWS services related to backend deployment. Additionally, you should have a deep comprehension of API standards, secure coding practices, and production-grade systems deployments. Preferred skills for the role involve experience with microservices architecture, containerization tools, asynchronous programming, caching, API performance optimization, monitoring and logging tools, serverless architecture, and event-driven systems. Familiarity with infrastructure as code, backend testing frameworks, API documentation tools, data privacy regulations, technical mentorship, team-building skills, and problem-solving abilities is desired. This position requires a Bachelor's degree in Engineering with specialization in Computer Science, Artificial Intelligence, Information Technology, or a related field. The role offers the flexibility of remote work in India, and you are expected to possess leadership skills, excellent communication abilities, a solutions-oriented mindset, and a commitment to continuous learning and professional development.,

Job Description The Core Data Engineer – DQ Framework & Validation Expert will focus on building and managing robust data quality (DQ) engines across staging and curated data layers. This role requires strong expertise in data validation frameworks, CI/CD automation, and integration with AI-driven QA validators to ensure high-quality datasets. The engineer will play a critical role in defining validation KPIs, developing Deequ/Great Expectations-based rules, and supporting data lifecycle and logging strategies. Responsibilities Understand the values and vision of the organization. Protect the Intellectual Property. Adhere to all the policies and procedures. Build and manage Deequ/Great Expectations-based data validation rule sets for tables and schemas. Define and track validation KPIs (e.g., null percentages, threshold checks, data type conformity). Integrate data quality checks with AWS Glue pipelines and monitor QA outcomes. Automate DQ checks and notifications using AWS Step Functions. Feed validation metrics to the Gen AI QA Validator and enable summary generation. Develop QA audit table generation logic to monitor dataset health. Support intermediate dataset lifecycle management and logging strategies. Collaborate with cross-functional teams to ensure PII, KPI, and derived field-level tagging logic. Implement Bitbucket CI/CD pipelines for automated DQ rule validation. Essential Skills Job Strong hands-on expertise in PySpark and AWS Glue 3.0+. Experience with AWS Glue Catalog & Tags for data classification. Proficiency in AWS Step Functions for DQ workflows. Expertise in Deequ or Great Expectations for building validation rules. Proficiency in Bitbucket CI/CD pipelines for data validation automation. Strong SQL skills with experience in Athena for validation dashboards. Personal Excellent problem-solving abilities and attention to detail. Strong interpersonal and collaboration skills with cross-functional teams. A proactive mindset, capable of driving initiatives independently. Ability to manage priorities in fast-paced and evolving environments. Preferred Skills Job Prior experience with Gen AI-driven QA validation pipelines. Knowledge of data lifecycle logging strategies. Hands-on experience in creating PII and KPI tagging mechanisms. Experience with data quality dashboards and audit reporting. Personal Demonstrate proactive thinking Strong communication and collaboration skills. Should have strong interpersonal relations, expert business acumen, and mentoring skills Strong problem-solving skills with attention to detail. Have the ability to work under stringent deadlines and demanding client conditions. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Other Relevant Information Bachelor’s degree in Computer Science, Information Technology, or a related field. 4-6 years of experience in data engineering and data quality frameworks . This role offers the flexibility of working remotely. Apply by sharing your resume/CV at shahrozk@leewayhertz.com LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.

Job Description This is a remote position. Job Summary We are seeking a Digital Marketing Head with 10+ years of experience in driving end-to-end digital strategies and performance marketing across global B2B tech ecosystems. The ideal candidate will bring a deep understanding of AI/Generative AI industry dynamics and proven expertise in building brand authority, lead generation funnels, and high-impact digital campaigns. This role requires a strategic thinker who is also execution focused & someone who can own ZBrain’s digital presence across paid, owned, and earned channels while leading a high-performing team. Key responsibilities include growth marketing, SEO/SEM, content strategy, analytics-driven decision-making, marketing automation, and positioning ZBrain as a thought leader in enterprise AI transformation. Responsibilities Design and implement multi-channel digital marketing strategies aligned with ZBrain’s business goals and technological vision to boost brand awareness and thought leadership in the AI space. Lead the full lifecycle of digital campaigns across platforms like Google Ads, LinkedIn, and Twitter/X, using performance analytics to enhance engagement and conversions. Write persuasive and audience-tailored copy for ads, landing pages, emails, and social posts, translating complex AI concepts into clear, compelling messages. Conceptualize and script engaging video content such as product demos, promotional reels, and customer success stories in collaboration with design and production teams. Build and execute targeted social media strategies for platforms like LinkedIn and Twitter/X to grow brand presence and foster audience engagement. Manage paid advertising efforts on Google, LinkedIn, and other platforms, focusing on ROI optimization and high-quality lead generation. Lead, mentor, and grow a high-performing digital marketing team while aligning their work with ZBrain’s strategic marketing objectives. Perform detailed market research and competitive analysis to inform content strategy, audience targeting, and campaign refinement. Collaborate cross-functionally with product, sales, and content teams to execute go-to-market plans and create marketing assets like brochures and case studies. Requirements Essential Skills: Job 10+ years in digital marketing with 3+ years in a leadership role (AI, Generative AI, SaaS). Expertise in digital copywriting for ads, emails, landing pages. Experience conceptualizing and delivering video marketing assets. Track record of running high-ROI PPC and social campaigns. Proficient in Google Analytics, Clarity, and similar tools. Understanding of AI/Gen AI technologies and market trend. Personal Strategic vision with a proven ability to design and execute high-impact digital marketing strategies. Exceptional copywriting and storytelling skills tailored to AI/Generative AI solutions. Expertise in video content creation, from concept to execution, with a focus on engaging audiences. Data-driven mindset with a history of delivering measurable campaign results. Strong leadership and collaboration skills, with experience working in cross-functional teams. Passion for innovation and staying ahead of trends in AI and digital marketing. Preferred Skills Job B2B marketing experience in AI-driven product environments. Familiarity with marketing automation and CRM tools (e.g., HubSpot, Salesforce). SEO and keyword optimization understanding is a plus. Personal Strategic thinker with data-driven execution skills. Excellent storytelling and copywriting ability. Strong leadership and collaboration capabilities. Ability to simplify complex concepts into compelling narratives. Passionate about AI innovation and digital-first brand building. Agile mindset with strong adaptability. Mentor and team-builder with a proactive approach. Demonstrates ownership, initiative, and measurable impact. Other Relevant Information Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 10+ years of experience in digital marketing, including at least 3+ years in a leadership role, specifically in AI, Generative AI, or SaaS environment. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Summary We are looking for a Senior Data Quality & Governance Engineer who will take ownership of enforcing data contracts, quality, and metadata standards across intelligence and analytics platforms. This role involves designing lineage models, implementing statistical validations, and establishing reusable quality dashboards—all using AWS-native and lightweight open-source tools. Responsibilities Design and enforce data contracts across Raw → Clean → Modeled zones. Define schema versioning policies, KPI logic, and metadata rules across business-critical datasets. Implement row-level and statistical validations using Great Expectations or Deequ. Create audit-ready QA tables to track failed checks, schema mismatches, and data regressions. Track end-to-end lineage and KPI evolution using OpenMetadata (with Glue/S3/Athena). Auto-classify columns as PII, derived, or forecast-driving fields using AWS Glue Tags/Scripts. Provide CTAS-based Athena queries for building QA dashboards and UAT verifications. Build BI-ready, QA-approved datasets for downstream tools like Superset and Power BI. Establish reusable profiling and validation dashboards for data quality and business teams. Collaborate with engineers, QA, and business SMEs to finalize data validation logic. Requirements Essential Skills: Job Hands-on experience with AWS Glue (Jobs, Crawlers, Catalog), S3, and Athena. Strong foundation in data contracts, quality enforcement, and schema versioning. Expertise in using Deequ or Great Expectations for anomaly detection and data validation. Familiarity with OpenMetadata, Amundsen, or custom metadata tracking solutions. Ability to tag and manage sensitive data fields (e.g., PII, model inputs, derived KPIs). Strong SQL with Athena (CTEs, CTAS, filters, aggregations). Experience building QA dashboards in Superset, Streamlit, or similar BI tools. Personal Excellent collaboration and communication with QA, architects, and business teams. Self-driven with attention to detail in schema accuracy and metadata enrichment. Ability to translate KPIs and quality rules into validation logic. Proactive in surfacing data regressions and audit issues before they reach production. High ownership mindset with a strong data compliance and governance attitude. Preferred Skills Job Implementation of statistical QA techniques like z-score anomalies or entropy thresholds. Experience handling rejected record logs, schema drift validations, and data reconciliation. Awareness of AWS cost optimization techniques in Glue and Athena. Personal Proactive, ownership-driven mindset with a collaborative approach. Strong communication and collaboration skills. Strong problem-solving skills with attention to detail. Have the ability to work under stringent deadlines and demanding client conditions. Strong analytical and problem-solving skills. Ability to work in fast-paced, delivery-focused environments. Should have strong mentoring and documentation skills. Ability to take end-to-end ownership of QA validation modules. Other Relevant Information Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 9+ years of experience in data engineering & architecture. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Summary We are looking for an experienced Senior Data Engineer to lead the development of scalable AWS-native data lake pipelines with a strong focus on time series forecasting and upsert-ready architectures. This role requires end-to-end ownership of the data lifecycle, from ingestion to partitioning, versioning, and BI delivery. The ideal candidate must be highly proficient in AWS data services, PySpark, versioned storage formats like Apache Hudi/Iceberg, and must understand the nuances of data quality and observability in large-scale analytics systems. Responsibilities Design and implement data lake zoning (Raw → Clean → Modeled) using Amazon S3, AWS Glue, and Athena. Ingest structured and unstructured datasets including POS, USDA, Circana, and internal sales data. Build versioned and upsert-friendly ETL pipelines using Apache Hudi or Iceberg. Create forecast-ready datasets with lagged, rolling, and trend features for revenue and occupancy modeling. Optimize Athena datasets with partitioning, CTAS queries, and metadata tagging. Implement S3 lifecycle policies, intelligent file partitioning, and audit logging. Build reusable transformation logic using dbt-core or PySpark to support KPIs and time series outputs. Integrate robust data quality checks using custom logs, AWS CloudWatch, or other DQ tooling. Design and manage a forecast feature registry with metrics versioning and traceability. Collaborate with BI and business teams to finalize schema design and deliverables for dashboard consumption. Requirements Essential Skills: Job Deep hands-on experience with AWS Glue, Athena, S3, Step Functions, and Glue Data Catalog. Strong command over PySpark, dbt-core, CTAS query optimization, and partition strategies. Working knowledge of Apache Hudi, Iceberg, or Delta Lake for versioned ingestion. Experience in S3 metadata tagging and scalable data lake design patterns. Expertise in feature engineering and forecasting dataset preparation (lags, trends, windows). Proficiency in Git-based workflows (Bitbucket), CI/CD, and deployment automation. Strong understanding of time series KPIs, such as revenue forecasts, occupancy trends, or demand volatility. Data observability best practices including field-level logging, anomaly alerts, and classification tagging. Personal Independent, critical thinker with the ability to design for scale and evolving business logic. Strong communication and collaboration with BI, QA, and business stakeholders. High attention to detail in ensuring data accuracy, quality, and documentation. Comfortable interpreting business-level KPIs and transforming them into technical pipelines. Preferred Skills Job Experience with statistical forecasting frameworks such as Prophet, GluonTS, or related libraries. Familiarity with Superset or Streamlit for QA visualization and UAT reporting. Understanding of macroeconomic datasets (USDA, Circana) and third-party data ingestion. Personal Proactive, ownership-driven mindset with a collaborative approach. Strong communication and collaboration skills. Strong problem-solving skills with attention to detail. Have the ability to work under stringent deadlines and demanding client conditions. Strong analytical and problem-solving skills. Ability to work in fast-paced, delivery-focused environments. Strong mentoring and documentation skills for scaling the platform. Other Relevant Information Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 9+ years of experience in data engineering & architecture. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Summary We are seeking a Digital Marketing Head with 10+ years of experience in driving end-to-end digital strategies and performance marketing across global B2B tech ecosystems. The ideal candidate will bring a deep understanding of AI/Generative AI industry dynamics and proven expertise in building brand authority, lead generation funnels, and high-impact digital campaigns. This role requires a strategic thinker who is also execution focused & someone who can own ZBrains digital presence across paid, owned, and earned channels while leading a high-performing team. Key responsibilities include growth marketing, SEO/SEM, content strategy, analytics-driven decision-making, marketing automation, and positioning ZBrain as a thought leader in enterprise AI transformation. Responsibilities Design and implement multi-channel digital marketing strategies aligned with ZBrains business goals and technological vision to boost brand awareness and thought leadership in the AI space. Lead the full lifecycle of digital campaigns across platforms like Google Ads, LinkedIn, and Twitter/X, using performance analytics to enhance engagement and conversions. Write persuasive and audience-tailored copy for ads, landing pages, emails, and social posts, translating complex AI concepts into clear, compelling messages. Conceptualize and script engaging video content such as product demos, promotional reels, and customer success stories in collaboration with design and production teams. Build and execute targeted social media strategies for platforms like LinkedIn and Twitter/X to grow brand presence and foster audience engagement. Manage paid advertising efforts on Google, LinkedIn, and other platforms, focusing on ROI optimization and high-quality lead generation. Lead, mentor, and grow a high-performing digital marketing team while aligning their work with ZBrains strategic marketing objectives. Perform detailed market research and competitive analysis to inform content strategy, audience targeting, and campaign refinement. Collaborate cross-functionally with product, sales, and content teams to execute go-to-market plans and create marketing assets like brochures and case studies. Requirements Essential Skills: Job 10+ years in digital marketing with 3+ years in a leadership role (AI, Generative AI, SaaS). Expertise in digital copywriting for ads, emails, landing pages. Experience conceptualizing and delivering video marketing assets. Track record of running high-ROI PPC and social campaigns. Proficient in Google Analytics, Clarity, and similar tools. Understanding of AI/Gen AI technologies and market trend. Personal Strategic vision with a proven ability to design and execute high-impact digital marketing strategies. Exceptional copywriting and storytelling skills tailored to AI/Generative AI solutions. Expertise in video content creation, from concept to execution, with a focus on engaging audiences. Data-driven mindset with a history of delivering measurable campaign results. Strong leadership and collaboration skills, with experience working in cross-functional teams. Passion for innovation and staying ahead of trends in AI and digital marketing. Preferred Skills Job B2B marketing experience in AI-driven product environments. Familiarity with marketing automation and CRM tools (e.g., HubSpot, Salesforce). SEO and keyword optimization understanding is a plus. Personal Strategic thinker with data-driven execution skills. Excellent storytelling and copywriting ability. Strong leadership and collaboration capabilities. Ability to simplify complex concepts into compelling narratives. Passionate about AI innovation and digital-first brand building. Agile mindset with strong adaptability. Mentor and team-builder with a proactive approach. Demonstrates ownership, initiative, and measurable impact. Other Relevant Information Bachelors degree in Computer Science, Information Technology, or a related field. Minimum 10+ years of experience in digital marketing, including at least 3+ years in a leadership role, specifically in AI, Generative AI, or SaaS environment. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Description We are looking for a motivated and enthusiastic Trainee Data Engineer to join our Engineering team. This is an excellent opportunity for recent graduates to start their career in data engineering, work with modern technologies, and learn from experienced professionals. The candidate should be eager to learn, curious about data, and willing to contribute to building scalable and reliable data systems. Responsibilities Understand and align with the values and vision of the organization. Adhere to all company policies and procedures. Support in developing and maintaining data pipelines under supervision. Assist in handling data ingestion, processing, and storage tasks. Learn and contribute to database management and basic data modeling. Collaborate with team members to understand project requirements. Document assigned tasks, processes, and workflows. Stay proactive in learning new tools, technologies, and best practices in data engineering. Requirements Essential Skills Job Basic knowledge of SQL and at least one programming language (e.g., Python, Scala). Understanding of databases and data concepts. Familiarity with cloud platforms (AWS, Azure, GCP) will be an added advantage. Good analytical and problem-solving skills. Basic Knowledge of data visualization tools (e.g., Tableau, Power BI). Personal Strong communication skills. Eagerness to learn and adapt to new technologies. Ability to work well in a team environment. Positive attitude and attention to detail. Preferred Skills Job Exposure to data pipelines, ETL concepts, or data warehousing (academic/project level). Basic knowledge of data visualization tools (e.g., Excel, Power BI, Tableau). Personal Proactive, self-motivated, and enthusiastic learner. Ability to take feedback and apply it effectively. Strong sense of responsibility and ownership for assigned tasks. Other Relevant Information Bachelor’s degree in Computer Science, Information Technology, or related field. Fresh graduates or candidates with up to 1 year of experience are eligible. Benefits LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Summary As a Senior Data Engineer, you will be responsible for designing, building, and optimizing data pipelines and lakehouse architectures on AWS. You will ensure data availability, quality, lineage, and governance across analytical and operational platforms. Your expertise will enable scalable, secure, and cost-effective data solutions that power advanced analytics and business intelligence. Responsibilities Implement and manage S3 (raw, staging, curated zones), Glue Catalog, Lake Formation, and Iceberg/Hudi/Delta Lake for schema evolution and versioning. Develop PySpark jobs on Glue/EMR, enforce schema validation, partitioning, and scalable transformations. Build workflows using Step Functions, EventBridge, or Airflow (MWAA), with CI/CD deployments via CodePipeline & CodeBuild. Apply schema contracts, validations (Glue Schema Registry, Deequ, Great Expectations), and maintain lineage/metadata using Glue Catalog or third-party tools (Atlan, OpenMetadata, Collibra). Enable Athena and Redshift Spectrum queries, manage operational stores (DynamoDB/Aurora), and integrate with OpenSearch for observability. Design efficient partitioning/bucketing strategies, adopt columnar formats (Parquet/ORC), and implement spot instance usage/bookmarking. Enforce IAM-based access policies, apply KMS encryption, private endpoints, and GDPR/PII data masking. Prepare Gold-layer KPIs for dashboards, forecasting, and customer insights with QuickSight, Superset, or Metabase. Partner with analysts, data scientists, and DevOps to enable seamless data consumption and delivery. Requirements Essential Skills Job Hands-on expertise with AWS data stack (S3, Glue, Lake Formation, Athena, Redshift, EMR, Lambda). Strong programming skills in PySpark & Python for ETL, scripting, and automation. Proficiency in SQL (CTEs, window functions, complex aggregations). Experience in data governance, quality frameworks (Deequ, Great Expectations). Knowledge of data modeling, partitioning strategies, and schema enforcement. Familiarity with BI integration (QuickSight, Superset, Metabase). Personal Strong problem-solving ability in complex data environments. Ability to communicate technical insights to non-technical stakeholders. Commitment to best practices in data governance, compliance, and security. Collaborative mindset with cross-functional teams. Preferred Skills Job Real-time ingestion experience (Kinesis, MSK, Kafka on AWS). Exposure to ML feature store integration with SageMaker. Infrastructure as Code (Terraform, CloudFormation, or CDK). Experience with Data Mesh or domain-driven data architecture. Personal Experience mentoring junior data engineers. Ability to lead data projects from design to production. Proactive in learning new AWS and data ecosystem technologies. Other Relevant Information Bachelor’s/Master’s degree in Computer Science, Information Technology, or related field. Minimum 4 years of proven experience in data engineering with AWS. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description This is a remote position. Job Summary As a Senior Data Engineer, you will be responsible for designing, building, and optimizing data pipelines and lakehouse architectures on AWS. You will ensure data availability, quality, lineage, and governance across analytical and operational platforms. Your expertise will enable scalable, secure, and cost-effective data solutions that power advanced analytics and business intelligence. Responsibilities Implement and manage S3 (raw, staging, curated zones), Glue Catalog, Lake Formation, and Iceberg/Hudi/Delta Lake for schema evolution and versioning. Develop PySpark jobs on Glue/EMR, enforce schema validation, partitioning, and scalable transformations. Build workflows using Step Functions, EventBridge, or Airflow (MWAA), with CI/CD deployments via CodePipeline & CodeBuild. Apply schema contracts, validations (Glue Schema Registry, Deequ, Great Expectations), and maintain lineage/metadata using Glue Catalog or third-party tools (Atlan, OpenMetadata, Collibra). Enable Athena and Redshift Spectrum queries, manage operational stores (DynamoDB/Aurora), and integrate with OpenSearch for observability. Design efficient partitioning/bucketing strategies, adopt columnar formats (Parquet/ORC), and implement spot instance usage/bookmarking. Enforce IAM-based access policies, apply KMS encryption, private endpoints, and GDPR/PII data masking. Prepare Gold-layer KPIs for dashboards, forecasting, and customer insights with QuickSight, Superset, or Metabase. Partner with analysts, data scientists, and DevOps to enable seamless data consumption and delivery. Requirements Essential Skills Job Hands-on expertise with AWS data stack (S3, Glue, Lake Formation, Athena, Redshift, EMR, Lambda). Strong programming skills in PySpark & Python for ETL, scripting, and automation. Proficiency in SQL (CTEs, window functions, complex aggregations). Experience in data governance, quality frameworks (Deequ, Great Expectations). Knowledge of data modeling, partitioning strategies, and schema enforcement. Familiarity with BI integration (QuickSight, Superset, Metabase). Personal Strong problem-solving ability in complex data environments. Ability to communicate technical insights to non-technical stakeholders. Commitment to best practices in data governance, compliance, and security. Collaborative mindset with cross-functional teams. Preferred Skills Job Real-time ingestion experience (Kinesis, MSK, Kafka on AWS). Exposure to ML feature store integration with SageMaker. Infrastructure as Code (Terraform, CloudFormation, or CDK). Experience with Data Mesh or domain-driven data architecture. Personal Experience mentoring junior data engineers. Ability to lead data projects from design to production. Proactive in learning new AWS and data ecosystem technologies. Other Relevant Information Bachelors/Masters degree in Computer Science, Information Technology, or related field. Minimum 4 years of proven experience in data engineering with AWS. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

As a skilled Full Stack Developer with over 3 years of experience, you will play a crucial role in designing, developing, and maintaining scalable web applications using React.js, Node.js, Typescript, and MongoDB. Your expertise in these technologies, along with exposure to AWS, will be key in delivering high-performance solutions. Collaborating with cross-functional teams, you will ensure seamless user experiences by developing and integrating RESTful APIs and optimizing applications for performance, scalability, and security. Your responsibilities will include understanding the values and vision of the organization, protecting Intellectual Property, and adhering to all policies and procedures. You will actively participate in code reviews, troubleshoot technical issues, and maintain clear technical documentation. Additionally, your proficiency in version control systems like Git and familiarity with Agile development practices will be essential. The ideal candidate will have: - 3+ years of experience in full-stack development with React.js and Node.js - Strong expertise in MongoDB for database design and management - Experience with RESTful API development and integration - Knowledge of cloud platforms like AWS (preferred but optional) - Proficiency in front-end development concepts including HTML, CSS, Typescript, and JavaScript On a personal level, excellent communication, interpersonal skills, and strong problem-solving abilities are required. You should be able to work in a fast-paced, dynamic environment, handle sensitive issues with discretion, and maintain confidentiality with attention to detail. Demonstrating strong work ethics, trustworthiness, and a collaborative mindset are key attributes for this role. Preferred skills include exposure to AWS services, experience with CI/CD pipelines, and deployment automation. You should have excellent communication, teamwork abilities, proactive thinking, and strong interpersonal relations with expert business acumen. A Bachelor's degree in Computer Science, Information Technology, or a related field, along with a minimum of 3 years of experience in software development with the relevant technology stack, is required. This remote position in India offers the flexibility of working from your location.,

As a Delivery Manager in this remote position, you will be responsible for leading and managing AI-based projects from inception to completion. Your role will involve collaborating with cross-functional teams, clients, and senior leadership to ensure successful project outcomes that meet customer specifications and timelines within budget constraints. Your primary responsibilities will include overseeing the end-to-end delivery of AI projects, managing project teams, developing detailed project plans, serving as the main point of contact for clients, monitoring project progress, and driving the successful integration of AI technologies. Additionally, you will be expected to foster strong client relationships, align project goals with business objectives, implement agile methodologies, and mentor junior team members. To excel in this role, you must possess expertise in managing AI project delivery, a deep understanding of Agile methodologies and MLOps frameworks, and the ability to proactively identify risks related to AI bias, data security, and regulatory compliance. Strong communication and interpersonal skills, a collaborative approach, proactive problem-solving abilities, and a focus on customer satisfaction are essential personal skills for this position. Preferred skills include staying updated on AI trends, effective communication and presentation skills, decision-making abilities, and driving continuous process improvements. You should also demonstrate proactive thinking, strong interpersonal relations, expert business acumen, mentoring skills, problem-solving abilities, attention to detail, and the ability to work under pressure. Furthermore, the ideal candidate will hold a Bachelor's or Master's degree in Engineering, Computer Science, Artificial Intelligence, Information Technology, or a related field, along with a minimum of 15 years of project delivery experience and at least 7 years in a leadership role within AI development or technology-focused companies. In return, this role offers the flexibility of working remotely in India.,

You are a detail-oriented and analytical Business Analyst with 3 to 5 years of experience, sought to join an AI-driven organization remotely in India. Your role involves gathering and analyzing business requirements, creating detailed documentation like BRD and FRD, performing gap analysis, and ensuring AI-based solutions meet business goals. You must possess strong problem-solving skills, excellent communication abilities, and a passion for leveraging AI and data-driven insights to drive business growth. Your responsibilities include understanding the organization's values and vision, protecting intellectual property, adhering to all policies and procedures, gathering, documenting, and analyzing business and system requirements for AI-driven solutions, creating and managing BRD and FRD, conducting Gap Analysis, collaborating with cross-functional teams, identifying business process improvements, translating complex business requirements, conducting market research, facilitating workshops and stakeholder meetings, creating project roadmaps, supporting test plans, preparing reports and presentations, and staying updated with AI advancements. Essential Skills: - Strong experience in Business Analysis, Requirement Gathering, and Documentation - Proficiency in Gap Analysis and identifying process improvement areas - Strong understanding of AI technologies, software products, machine learning, and data analytics - Experience with business analysis tools like JIRA, Confluence, Trello, Lucidchart, or Visio - Strong analytical mindset, proficiency in SQL and data visualization tools - Experience in process mapping, workflow optimization, Agile methodologies - Excellent verbal and written communication skills Personal Skills: - Collaborative approach, problem-solving skills, ability to work independently - Strong interpersonal skills, proven track record of client engagement and satisfaction Preferred Skills: - Proficiency in business analysis tools, strong understanding of AI and data analytics - Experience in process mapping, workflow optimization, SQL, and data visualization tools - Strong analytical and problem-solving skills, proactive thinking, ability to work under pressure Additional Requirements: - Bachelors or Masters degree in Business Administration, Computer Science, Data Science, or related field - 3 to 5 years of experience as a Business Analyst, preferably in AI or data science environment - Experience in Agile and Scrum methodologies is a plus Benefits: - Flexible remote work opportunity in India,

This is a remote position. We are seeking an experienced and dynamic Full Stack Developer with 5 to 8 years of experience to join our team. The ideal candidate will have strong expertise in front-end development using React and backend development using Python. In this role, you will be responsible for designing, developing, and maintaining scalable web applications, collaborating with cross-functional teams, and ensuring high-performance and responsive applications. Your expertise will drive innovation and contribute to building cutting-edge solutions. Design, develop, and maintain scalable, secure, and high-performance web applications. Develop interactive and user-friendly front-end interfaces using React. Build and optimize backend services and APIs using Python frameworks such as Django or Flask. Collaborate with UI/UX designers to implement responsive and visually appealing designs. Write clean, efficient, and maintainable code following best practices and coding standards. Optimize application performance and troubleshoot issues across the full stack. Integrate third-party APIs, libraries, and cloud services to enhance application functionality. Work with databases, ensuring efficient data management and query optimization. Stay up-to-date with emerging technologies and incorporate them into development processes. Participate in code reviews and contribute to team knowledge-sharing sessions. Candidate Profile - Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. - 5 to 8 years of experience in full-stack development, with expertise in React and Python. - Strong analytical and problem-solving skills with keen attention to detail. - Ability to work independently as well as collaboratively in a remote setting. - Excellent communication skills and ability to convey technical concepts effectively. Candidate Required Skills - Proficiency in front-end development using React, Redux, JavaScript, HTML5, and CSS3. - Able to understand Angular and migrate it to React. - Strong understanding of Python and experience with frameworks like Django or FastAPI. - Experience in developing and consuming RESTful APIs and GraphQL services. - Hands-on experience with databases such as PostgreSQL, MySQL, or MongoDB. - Familiarity with version control tools such as Git and CI/CD pipelines. - Experience working with cloud platforms like AWS, Azure, or Google Cloud. - Knowledge of authentication mechanisms, security best practices, and performance optimization techniques. - Exposure to Docker, Kubernetes, and other containerization technologies is a plus. - Understanding of Agile methodologies and DevOps practices. Benefits This role offers the flexibility of working remotely in India.,

Job Description This is a remote position. Job Summary We are looking for a Senior Data Quality & Governance Engineer who will take ownership of enforcing data contracts, quality, and metadata standards across intelligence and analytics platforms. This role involves designing lineage models, implementing statistical validations, and establishing reusable quality dashboards—all using AWS-native and lightweight open-source tools. Responsibilities Design and enforce data contracts across Raw → Clean → Modeled zones. Define schema versioning policies, KPI logic, and metadata rules across business-critical datasets. Implement row-level and statistical validations using Great Expectations or Deequ. Create audit-ready QA tables to track failed checks, schema mismatches, and data regressions. Track end-to-end lineage and KPI evolution using OpenMetadata (with Glue/S3/Athena). Auto-classify columns as PII, derived, or forecast-driving fields using AWS Glue Tags/Scripts. Provide CTAS-based Athena queries for building QA dashboards and UAT verifications. Build BI-ready, QA-approved datasets for downstream tools like Superset and Power BI. Establish reusable profiling and validation dashboards for data quality and business teams. Collaborate with engineers, QA, and business SMEs to finalize data validation logic. Requirements Essential Skills: Job Hands-on experience with AWS Glue (Jobs, Crawlers, Catalog), S3, and Athena. Strong foundation in data contracts, quality enforcement, and schema versioning. Expertise in using Deequ or Great Expectations for anomaly detection and data validation. Familiarity with OpenMetadata, Amundsen, or custom metadata tracking solutions. Ability to tag and manage sensitive data fields (e.g., PII, model inputs, derived KPIs). Strong SQL with Athena (CTEs, CTAS, filters, aggregations). Experience building QA dashboards in Superset, Streamlit, or similar BI tools. Personal Excellent collaboration and communication with QA, architects, and business teams. Self-driven with attention to detail in schema accuracy and metadata enrichment. Ability to translate KPIs and quality rules into validation logic. Proactive in surfacing data regressions and audit issues before they reach production. High ownership mindset with a strong data compliance and governance attitude. Preferred Skills Job Implementation of statistical QA techniques like z-score anomalies or entropy thresholds. Experience handling rejected record logs, schema drift validations, and data reconciliation. Awareness of AWS cost optimization techniques in Glue and Athena. Personal Proactive, ownership-driven mindset with a collaborative approach. Strong communication and collaboration skills. Strong problem-solving skills with attention to detail. Have the ability to work under stringent deadlines and demanding client conditions. Strong analytical and problem-solving skills. Ability to work in fast-paced, delivery-focused environments. Should have strong mentoring and documentation skills. Ability to take end-to-end ownership of QA validation modules. Other Relevant Information Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 9+ years of experience in data engineering & architecture. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">