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Job Type

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Job Description

Job Title

: AWS Data Engineer

Experience

: 9+ years total, 7+ years relevantLocation : Chennai
  • Design, develop, and optimize data pipelines & ETL processes using AWS Glue and EMR.
  • Build and manage data lakes (S3) and data warehouses (Redshift) for analytics/reporting.
  • Work with AWS services: Lambda, SNS, SQS, Glue Crawlers, Glue Catalog, Athena, RDS (PostgreSQL).
  • Integrate diverse data sources into S3 with efficient ingestion and transformation.
  • Implement and manage orchestration tools (e.g., AWS Airflow).
  • Ensure smooth batch and real-time processing.
  • Implement real-time streaming with Amazon Kinesis Data Firehose for low-latency delivery.
  • Design and maintain APIs for integration with third-party/internal systems.
  • Collaborate with analysts and business stakeholders to deliver high-quality datasets.
  • Ensure data quality, security, and integrity across all systems.
  • Monitor and troubleshoot data workflows & performance issues.

Mandatory Skills

  • Data Platforms & Tools: AWS (S3, Glue, Redshift, EMR, Kinesis)
  • ETL/ELT Development: Scalable pipelines using Spark, AWS Glue, Airflow, Kafka
  • Programming: Python, SQL (advanced), Scala/Java for big data processing
  • Databases: Relational (PostgreSQL, MySQL), NoSQL (DynamoDB, MongoDB)
  • Performance Optimization: Query tuning, partitioning, caching strategies

Good To Have

  • Cloud & DevOps: IaC (Terraform/CloudFormation), CI/CD for pipelines
  • Security & Compliance: Encryption, IAM, GDPR/HIPAA knowledge
  • Soft Skills: Problem-solving, collaboration, stakeholder communication

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