AWS Data Engineer (Remote)

Role Description

This role focuses on building and maintaining data pipelines and analytics infrastructure on AWS. You will work daily with S3, Glue, Redshift, Athena, Lake Formation, Airflow, SNS/SQS, and Postgres to make high-quality data available to analytics and ML teams.

Please note that the working hours for this job would be 5PM to 2AM IST.

• Develop and maintain ETL/ELT jobs using AWS Glue and SQL/Python.
• Help manage an S3-based data lake, organizing data for efficient querying via Athena and Redshift.
• Build, schedule, and monitor data workflows using Apache Airflow (or a similar tool).
• Apply Lake Formation policies to secure and govern data access.
• Work with Postgres/PostgreSQL for operational and analytical use cases as needed.
• Implement SNS/SQS-based notifications and event-driven flows within pipelines.
• Collaborate with analytics and ML teams to understand data needs and deliver robust datasets.
• Contribute to code reviews, documentation, and ongoing data quality checks.

Qualifications

• 2+ years of experience as a Data Engineer or in a similar data-focused role.
• Hands-on experience with AWS data tools such as:
• S3, Glue, Redshift, Athena, Lake Formation
• Experience scheduling and managing pipelines with Airflow (or equivalent orchestration tool).
• Solid SQL skills and familiarity with Postgres/PostgreSQL.
• Understanding of data modelling, partitioning, and performance optimization.
• Comfort working in a fully remote environment with Git-based workflows and CI/CD.

Nice to have:

• Experience with data quality frameworks or monitoring tools.
• Exposure to BI tools or ML/analytics workflows.