Data Engineer

5 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

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Role Overview:


hands-on Data Engineer


Key responsibilities


  • Design, develop, and maintain scalable ETL pipelines to ingest and transform structured and unstructured data
  • Optimize data workflows for performance, reliability, and scalability
  • Build, maintain, and monitor production-grade data infrastructure using AWS services (S3, Lambda, Glue, Athena, ECS, etc.)
  • Work closely with AI/ML teams to prepare high-quality datasets for model training and evaluation
  • Collaborate with stakeholders to define data schemas, quality checks, and versioning strategies
  • Contribute to internal tooling for data validation, schema tracking, and data lineage management


Required skills & qualifications


  • 3–5 years of hands-on experience in data engineering
  • Strong proficiency in Python and SQL
  • Experience with cloud-based data platforms (preferably AWS)
  • Hands-on experience with batch ETL pipelines (Airflow, Prefect, Luigi, or similar)
  • Good understanding of modern data lake and data warehouse architectures (Redshift, Snowflake, BigQuery, etc.)
  • Ability to work independently in a fast-paced startup environment
  • Strong communication and documentation skills


Nice to have


  • Exposure to healthcare, bioinformatics, or pharmaceutical datasets
  • Experience with large-scale molecular, genomic, or omics data
  • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code
  • Knowledge of data governance best practices


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