AWS Data Engineer

6 hours ago

Noida, Uttar Pradesh, India Topcoder Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Detailed JD

AWS Data Engineer – Data Pipeline & Modelling

Roles and Responsibilities
  • Design, develop, and maintain scalable data pipelines using AWS Glue (Spark, Python) and Delta Lake for efficient ETL processing.
  • Model and transform data across different layers (raw, staging, processed) to support analytics and reporting requirements.
  • Orchestrate complex data workflows using AWS Step Functions, coordinating Glue jobs and Lambda functions.
  • Manage data storage solutions, primarily using Amazon S3 and relational databases such as Oracle.
  • Expose structured and curated data for analytics and reporting via AWS Athena.
  • Implement and maintain CI/CD processes for ETL jobs and data pipeline deployments using GitHub.
  • Enable and support data access for business intelligence tools (e.g., Power BI).
  • Collaborate with cross-functional teams to understand business data needs and deliver effective solutions.
  • Operate within secure development environments (e.g., Laptop/VDI) to access required data and toolsets.
Skills & Experience
  • Demonstrated experience building data pipelines on AWS (Glue, S3, Athena, Step Functions).
  • Strong background in ETL development with PySpark and Python.
  • Experience with Delta Lake or similar data lake architectures.
  • Solid understanding of data modelling, data transformation, and performance optimization.
  • Hands-on experience with version control (GitHub) and CI/CD for data engineering workflows.
  • Familiarity with business intelligence/reporting tools integration (e.g., Power BI).
  • Experience working in secure or remote development environments.
Skills

Must Have
  • AWS Glue (Spark, Python) for ETL development
  • Amazon S3 for data storage and management
  • AWS Step Functions for workflow orchestration
  • AWS Athena for data querying and analytics
  • Delta Lake or similar table format technologies
  • GitHub for CI/CD and script versioning
  • Data modelling and transformation expertise
  • SQL proficiency
Nice to Have
  • Experience with AWS Lambda for serverless transformation tasks
  • Exposure to Oracle or other relational databases
  • Experience with Power BI or similar reporting/visualization tools
  • Familiarity with customer service or CRM data sources especially Salesforce & IVR
  • Knowledge of secure workspace access (Laptop/VDI environments)

     

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