AWS Data Engineer

AWS Data Engineer Hyderabad · Full-time · Hybrid

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About the Role We are looking for a Senior AWS Data Engineer to bridge the gap between high-level data architecture and hands-on engineering, designing modern data lakes, warehouses, and streaming platforms on AWS. The role requires building pipelines and architecting scalable, robust, and cost-efficient data ecosystems. The ideal candidate will have experience in data engineering, data architecture, and system design.

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Key Responsibilities

• Design and implement scalable, secure, and highly available cloud data architectures on AWS.
• Design, build, and optimize robust ETL/ELT pipelines to ingest, process, and transform massive datasets.
• Create and maintain conceptual, logical, and physical data models for high-performance analytics, reporting, and AI/ML use cases.
• Optimize complex SQL queries, Spark jobs, and storage formats to ensure maximum efficiency and minimal AWS costs.
• Implement strict data governance, data quality framework checking, IAM policies, and encryption protocols to ensure data compliance and security.
• Act as the technical authority for data architecture within the team, mentoring junior engineers and collaborating closely with Data Scientists, DevOps, and Product owners.

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Requirements

• Have 6+ years of dedicated experience in Data Engineering, with at least 2+ years focused on data architecture and system design.
• Possess deep hands-on expertise with AWS data services, including Compute/Processing, Storage/Warehouse, and Streaming.
• Have proficiency in Python or Scala, and extensive experience with Apache Spark.
• Demonstrate master-level SQL skills and a deep understanding of data warehousing concepts.
• Have hands-on experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or AWS CDK.
• Have experience with workflow orchestration tools like Apache Airflow and standard Git-based CI/CD pipelines.

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