AWS Data Engineer

Job description

Weekday Virtual Interview 26-June-2026 Skill: AWS Data Engineer Experience Range:5+ Location:Chennai,Pune **Must-Have** - Amazon S3 (Data Lake) - AWS Glue (ETL) - AWS Lambda - Amazon Redshift - AWS Step Functions - AWS IAM & CloudWatch - IBM Netezza **Good-to-Have** AWS Certifications (Solutions Architect / Data Analytics) - Experience with Airflow (or Managed Workflows for Apache Airflow - MWAA) - Exposure to Snowflake, Databricks, or Delta Lake **Responsibility of / Expectations from the Role** Resource should have strong data warehouse technical knowledge. Resource have knowledge in Bank and financial domain (Minimum 4+ years of experience). Design, develop, and maintain scalable data pipelines and workflows on AWS Build and manage data lakes and data warehouses (e.g., S3, Redshift) Develop ETL/ELT processes using tools like AWS Glue, Lambda, or Spark Strong solution Knowledge in AWS Cloud and hands on experience with ETL process (like Kafka message processing, batch interface data injection and other business layer process) Optimizedataingestion, transformation, and loading processes. Work with stakeholders to understand and deliverdatarequirements Ensuredataquality, governance, and security compliance. Monitor and troubleshootdatapipelines and workflows Automate deployments using CI/CD pipelines. Improve performance, cost optimization, and scalability Coordinate with clients,datausers and key stakeholders to understand feature requirements needed merge them to create reusable design patterns. Data onboarding using the developed frameworks Understand and make sense of available code in Netezza to design the best way to implement its current features in AWSDataLake Unit test code and aid with QA/SIT/Perf testing. Migration to production environment