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Tier-1 brand, mid-level data engineer in Hyderabad with broad cloud/Databricks skills attracts many qualified applicants.
Core data engineering skills transfer broadly, but life-sciences domain and Databricks/AWS specialization increase fit sensitivity.
Explicit 5-8 years and mandatory Databricks/AWS/CloudFormation/GitHub expertise make shortlisting highly strict.
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Design, build, and maintain ETL pipelines and data products ensuring high-quality, analytic-ready data solutions.
Own end-to-end development and optimization of data architectures supporting data scientists, analysts, and stakeholders.
Collaborate closely with Enterprise Data teams to align data platform strategies and act as a Subject Matter Expert in data & analytics solutions.
5-8 years of hands-on experience in data engineering, preferably in cloud environments (AWS).
Expertise in Databricks, AWS Glue, real-time data ingestion pipelines, CloudFormation, GitHub workflows, and AWS API integrations.
Strong programming skills in Python, PySpark, Scala, SQL and experience with AWS data services (Redshift, Athena, LakeFormation).
Work Experience Required: 5+ years in data engineering or software development.
Experienced in building scalable, secure, and performant data architectures in Agile/Product-based environments.
Demonstrated ability to lead complex data initiatives to completion with minimal oversight and mentor team members.
Familiarity with Lifesciences R&D domain and working across global teams in a matrixed enterprise environment.