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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

Direct Career PageEst. 28–45 LPA

Posted 1d ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Design and build scalable data pipelines and curated data models integrating structured and unstructured data from platforms like Databricks.

Develop, optimize, and maintain pipelines using SQL, Python, and orchestration tools ensuring data quality, observability, and documentation.

Partner with cross-functional teams to translate business needs into data solutions and support reporting and analytics downstream.

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.

Strong skills in SQL, Python, ETL/ELT, data modeling, and orchestration tools like Airflow, Dagster, or Prefect.

Onsite work requirement at Hewlett Packard Enterprise office.

Experienced in modern data engineering practices including DataOps, CI/CD, and automation across cloud platforms (AWS, GCP, Azure).

Able to manage multiple projects independently and communicate technical concepts clearly to non-technical stakeholders.

Skilled in integrating diverse data sources including Databricks, BI tools (Power BI/Tableau), and cloud storage systems (AWS S3, Hadoop, Snowflake).