This role leads the design and scaling of a up-to-date 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. 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.

Solid 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 solid 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.).

📌 Senior Aws Data Engineer Remote Gurugram
🏢 Neurodrift
📍 Gurugram