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Tier-1 brand, mid-level Data Engineer title, and metro Hyderabad location increase candidate competition.
Core data engineering skills are transferable, though enterprise functions and pharma domain experience are preferred.
Explicit 3-5 years plus mandatory Databricks/AWS/Python/Spark/SQL and API/LLM experience raises filtering strictness.
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Develop and deliver high-quality, analytic-ready data products and solutions for Enabling Functions (HR, Finance, Compliance, Procurement).
Define and implement data engineering strategies and collaborate with data architects to maintain scalable data models, improve data storage and retrieval performance.
Design and build RESTful APIs and integrate LLM-powered AI workflows (e.g., generative AI, vector databases, RAG pipelines) to expose data and AI capabilities to enterprise users.
3-5 years of IT experience including developing AWS cloud-native data lakes and ecosystems with some production support.
Proficiency in AWS services such as Glue Studio, Athena, Redshift, and Postgres; programming skills in Python, PySpark, and SQL.
Experience building ETL/ELT pipelines, working with Databricks, Delta Lake concepts (ACID tables, incremental processing, merges).
Experience working in onshore-offshore delivery models and familiarity with Agile/Product-based environments.
Experienced with enterprise data engineering for business functions like HR, Finance, or Compliance and comfortable working with both structured and unstructured data.
Skilled in building APIs and integrating large language models (OpenAI, AWS Bedrock, Anthropic Claude) within cloud enterprise environments.
Operates well in dynamic, fast-paced global settings with ability to collaborate across teams and implement data governance, security, and privacy best practices.