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Senior / Lead AWS Data Engineer (Remote)
Senior / Lead AWS Data Engineer (Remote)Mindcraft Labs • Lucknow, IN
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Senior / Lead AWS Data Engineer (Remote)

Senior / Lead AWS Data Engineer (Remote)

Mindcraft Labs • Lucknow, IN
1 day ago
Job type
  • Remote
Job description

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 .

  • 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.).
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