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Senior Associate – Databricks Data Engineer, Advisory

PwC
NewPosted today

LOCATION

Gurugram Downtown 4 · Onsite

EXPERIENCE

4 - 7 Years

TYPE

FullTime

SKILLS REQUIRED

DatabricksData PipelinesDelta lakeSparkCloud ServicesObservabilityData SecurityCI/CDOrchestration

Job description

Overview

Design, build, and operate scalable, high-performance data pipelines on the Databricks Lakehouse Platform. The role involves hands-on development with Apache Spark, Databricks notebooks, Delta Lake, and cloud-native services, collaborating with analytics, AI/ML, and business teams.

What you'll do

  • Design, build, and maintain end-to-end data pipelines using Databricks, PySpark, and Spark SQL.
  • Implement batch and incremental data processing using Delta Lake and multi-hop architecture.
  • Develop and optimize Databricks notebooks, jobs, and workflows.
  • Ingest, transform, and curate large-scale structured and semi-structured datasets.
  • Support analytics, reporting, and downstream data consumption use cases.
  • Ensure data quality, reliability, lineage, and governance.
  • Collaborate with data scientists, analysts, and architects on AI/ML workloads.
  • Optimize Spark jobs for performance and cost efficiency.
  • Adhere to enterprise security, access control, and compliance standards.
  • Provide production support and troubleshoot data pipeline issues.
  • Document technical designs, data flows, and operational runbooks.
  • Mentor junior engineers and contribute to best practices.

What you'll need

  • 4+ years of experience as a Data Engineer with strong Databricks expertise.
  • Hands-on experience with Apache Spark, PySpark, and Spark SQL.
  • Strong knowledge of Delta Lake and Lakehouse architecture.
  • Advanced SQL skills.
  • Experience with ETL/ELT patterns and data warehousing concepts.
  • Exposure to at least one cloud platform: Azure, AWS, or GCP.
  • Understanding of distributed computing concepts.
  • Experience working in Agile teams.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 60% above.
  • Required degrees/fields of study include Bachelor of Engineering and Bachelor of Technology.

Nice to have

  • Experience with Unity Catalog and data governance.
  • Exposure to Auto Loader or streaming frameworks.
  • CI/CD for data pipelines.
  • Python for data engineering and automation.
  • Databricks certification at Associate or Professional level.

Details

  • Location: Gurugram Downtown 4.
  • Experience range stated: 4-7 years.
  • Travel requirements: Not Specified.
  • Work visa sponsorship is not available.
  • Government clearance is not required.

Read the full description and apply on the company’s own careers page.

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Senior Associate – Databricks Data Engineer, Advisory