Senior AWS Data Engineer (Remote)

Role Description

This role leads the design and scaling of a modern data platform on AWS. You will own the end-to-end data architecture across services like S3, Glue, Redshift, Athena, Lake Formation, SNS/SQS, Airflow, and Postgres, enabling analytics and AI/ML teams with reliable, well-modelled data.

Please note that the working hours for this job would be 5PM to 2AM IST. We need to fill this position IMMEDIATELY.

Own the architecture and roadmap of an AWS-based data platform. Design and build ETL/ELT pipelines using AWS Glue and related services. Manage and optimize a data lake on S3 and data warehouses in Redshift. Apply AWS Lake Formation for data security, governance, and fine-grained access control. Use Athena for ad-hoc and exploratory querying over S3-based data. Implement and maintain orchestrated data workflows using Apache Airflow. Design and support event-driven data flows using AWS SNS and SQS. Collaborate with analytics and ML teams to deliver clean, reliable, and well-modelled datasets. Mentor other data engineers and establish best practices, standards, and code review processes.

Qualifications

5+ years of experience as a Data Engineer, including 1–2 years in a lead or tech lead capacity. Strong experience with the AWS data stack, including: S3, AWS Glue, Redshift, Athena, Lake Formation. Hands-on experience with Apache Airflow (or a similar orchestration tool). Excellent SQL skills and a strong background in data warehousing and dimensional modelling. Solid experience with Postgres/PostgreSQL, including schema design and query optimization. Experience using SNS/SQS within data pipelines or event-driven architectures. Demonstrated ability to lead projects and mentor engineers in a remote setting.

Nice to have: Experience enabling ML/AI teams with curated data layers or feature stores. Familiarity with infrastructure-as-code for data infrastructure (CloudFormation, CDK, Terraform, etc.).