AWS Data Engineer

Job Title : Data Engineer

Role:  AWS Data Engineer

Key Skills: Data Engineer, Python, AWS services,SQL, ETL, pyspark

Experience: 3 to 8 Yrs

Location: Madurai

Mode : Hybrid

About the Role:

AWS Data Engineer

What You Will Do:

• Architect, build, and maintain robust and scalable data pipelines using AWS services.

• Implement performant and reliable ETL/ELT processes that handle large volumes of structured and unstructured data.

• Enforce and monitor data SLAs to ensure freshness, reliability, and availability of datasets across environments.

• Collaborate with engineering, product, and analytics teams to transform business requirements into robust data models and pipelines.

• Proactively identify and resolve bottlenecks, data quality issues, and system inefficiencies.

• Implement schema versioning, data lineage tracking, and database change management practices.

• Define and enforce best practices for data governance, access control, observability, and compliance.

• Contribute to CI/CD workflows and infrastructure as code practices using tools like CloudFormation or Terraform.

What You Will Bring:

• 3+ years of experience in data engineering or backend systems development, with a strong focus on cloud-based architectures.

• Deep expertise in AWS data ecosystem—especially Redshift, Glue, S3, Athena, Lambda, Step Functions, and CloudWatch.

• Strong background in SQL performance tuning, schema design, indexing, and partitioning strategies for large datasets.

• Experience maintaining data freshness SLAs and end-to-end ownership of production pipelines.

• Hands-on experience with Python (or PySpark), T-SQL, and scripting automation for data ingestion and transformation.

• Solid understanding of relational and dimensional data modeling, normalization, and schema evolution.

• Experience with source control systems (e.g., Git, Bitbucket) and CI/CD pipelines for data infrastructure.

• Track record of transforming complex business requirements into reliable and scalable data solutions.

• Experience with data governance, security, and compliance frameworks (e.g., HIPAA, GDPR) is a plus.

• Familiarity with monitoring and observability tools (e.g., CloudWatch, Datadog, or Prometheus).

• Bonus: Exposure to Snowflake or MSSQL in hybrid cloud environments.

Nice to Have:

• AWS certifications such as AWS Certified Data Analytics, Solutions Architect, or DevOps Engineer.

• Experience with Apache Airflow, dbt, or other data orchestration tools.

• Familiarity with Kafka, Kinesis, or other streaming technologies.

• Understanding of data mesh or data lakehouse architectures