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Tier‑1 brand, Bangalore location, and broad generalist data engineering requirements increase competition.
Specialized Databricks, ETL, and pipeline experience reduces portability across industries.
Explicit 9+ years plus Databricks, orchestration tools, and advanced SQL/Python make shortlisting highly strict.
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Design, build, and maintain scalable data pipelines and curated data models to support reporting and analytics.
Ingest and integrate data from multiple structured and unstructured enterprise systems including Databricks and IT data platforms.
Ensure data quality, observability, and documentation while collaborating with cross-functional teams to translate business needs into technical data solutions.
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 in SQL, advanced Python skills, and experience with orchestration tools like Airflow, Dagster, or Prefect.
Role requires working onsite at an HPE office (location in India implied but not explicitly stated).
Experienced with modern data engineering tools and cloud platforms including Databricks, AWS, GCP, Azure, Snowflake, Hadoop, Hive, and cloud storage solutions.
Capable of managing multiple projects independently with strong communication skills to translate technical concepts to non-technical stakeholders.
Demonstrates ownership from design through delivery and enjoys solving complex and ambiguous data engineering challenges in fast-paced environments.