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Strong Tier-1 employer, metro Bengaluru location, and a common senior data engineer profile raise candidate competition.
Core data engineering skills are transferable, but enterprise networking context adds moderate industry specificity.
9+ years and mandatory Databricks, Python, SQL, orchestration, and DataOps requirements enforce strict shortlisting.
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Design, build, and maintain scalable data pipelines integrating structured and unstructured data from enterprise systems including Databricks and IT platforms.
Develop curated data models and analytical layers to support reporting and downstream analytics, ensuring data quality and observability across pipelines and storage.
Collaborate with cross-functional teams to translate business needs into technical data solutions, integrating new data sources and APIs, and communicating technical concepts to non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field.
9+ years of experience in data engineering or related domains.
Proficiency with SQL, Python, ETL/ELT, orchestration tools (Airflow, Dagster, Prefect), and experience with cloud platforms (AWS, GCP, Azure) and distributed systems (AWS S3, Hadoop, Hive, Snowflake).
Role is designated as onsite, expected to primarily work from an HPE office.
Experienced senior-level data engineer with proven ownership of data pipeline design, delivery, and data lifecycle management in enterprise environments.
Comfortable working in fast-paced, collaborative, and cross-functional settings, interfacing between technical and business teams.
Strong practical business understanding balanced with deep technical skills in modern data engineering tools and cloud-based data platforms.