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Tier-2 multinational brand, Hyderabad metro, mid-level generalist data role with broad AWS/Databricks requirements.
Core data engineering skills are highly transferable across industries despite pharma domain knowledge preference.
Explicit 3–5 years plus mandatory AWS, Databricks, Python, and SQL requirements make shortlisting strict.
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Own and enhance data products and analytic-ready data solutions for enterprise enabling functions such as HR, Finance, Compliance, and Procurement.
Develop, optimize, and maintain data engineering solutions including data warehouses, lakes, marts, and RESTful APIs exposing data and AI capabilities to users.
Implement data governance policies ensuring data accuracy, security, and privacy; integrate LLM and generative AI solutions within enterprise workflows.
3-5 years of experience in IT developing AWS cloud-native data lakes and ecosystems with production support experience.
Proficiency in Python, SQL, Spark, and AWS native services such as Glue Studio, Athena, Redshift, Postgres.
Experience with RESTful API development and integration with LLM/Generative AI tools like OpenAI, AWS Bedrock, Anthropic Claude.
Work Experience Required: 3-5 years; Location Requirement: Hyderabad, India; No notice period explicitly mentioned.
Experienced data engineer with a strong background in both data engineering and data governance for enterprise functions (HR, Finance, Compliance, Procurement).
Comfortable working in fast-paced, agile/product-based global environments collaborating across data architect and platform teams.
Familiar with advanced AI integration including LLM APIs, vector databases, orchestration frameworks, and production-grade API frameworks with security best practices.