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Tier-1 employer, mid-level generalist data engineer in Hyderabad with popular tech stack increases candidate competition.
Core data engineering skills (Databricks, Python, SQL) are highly transferable across industries.
Explicit 2–4 years requirement and mandatory Databricks, PySpark, Scala skills enforce strict filters.
Design, develop, and maintain end-to-end data pipelines and ETL processes using Databricks, Python, PySpark, and Scala.
Ensure data quality, implement data governance, and handle data security and privacy measures on cloud platforms (preferably AWS).
Collaborate with cross-functional teams including Data Architects, Business SMEs, and Data Scientists to deliver scalable data solutions and support business needs.
Bachelor’s degree in Computer Science, IT, or related field.
2 to 4 years of relevant work experience in data engineering or related roles.
Proficiency in Databricks, Python, PySpark, Scala, and strong SQL skills with relational databases like PostgreSQL or MySQL.
Experience or familiarity with big data frameworks such as Apache Hadoop, Spark, and Kafka; working knowledge of AWS cloud data services preferred.
Demonstrated ability to own and deliver data pipeline projects managing scope, timelines, and technical risks.
Experience working in fast-paced, cross-geographic teams designing scalable data architecture and integration solutions.
Technical proficiency to explore and implement new tools/technologies improving ETL platform performance and adhering to coding/testing best practices.