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Tier-1 brand, metro location, popular data role with broad skillset increases applicant competition.
Core data engineering skills are highly transferable across industries.
Explicit 9+ years plus mandatory Databricks, Python, SQL, orchestration and cloud skills.
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Design and build scalable data pipelines integrating complex data sources and maintaining data quality and observability.
Develop curated data models and analytical layers to support enterprise reporting and downstream analytics.
Collaborate with cross-functional teams to translate business needs into technical data solutions using SQL, Python, and orchestration tools.
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
9+ years of experience in data engineering or related domains.
Strong proficiency in SQL, advanced Python skills, and experience with orchestration tools such as Airflow, Dagster, or Prefect.
Role requires onsite work primarily from an HPE office.
Experienced in fast-paced environments solving complex data engineering problems and communicating across technical and non-technical teams.
Strong ownership from design through delivery with a blend of technical depth and business understanding.
Familiarity with cloud platforms (AWS, GCP, Azure), data governance, CI/CD, DataOps, and modern data engineering best practices.