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IN_Senior Associate_Data Engineer Databricks_Data and Analytic

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Onsite

IN_Senior Associate_Data Engineer Databricks_Data and Analytic

PwC Service Delivery Center

IN_Senior Associate_Data Engineer Databricks_Data and Analytic

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonDatabricksData AnalysisMachine LearningAIAWSPySparkComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

24 August 2026

What they need


Job Description Summary

We are seeking an experienced Data Engineer - Databricks to design, build, and operate scalable, high-performance data pipelines on the Databricks Lakehouse Platform. The role involves hands-on development using Apache Spark, Databricks notebooks, Delta Lake, and cloud-native services, along with close collaboration with analytics, AI/ML, and business teams.

Responsibilities

  • Design, build, and maintain end-to-end data pipelines using Databricks (PySpark / 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

Mandatory skill sets

  • 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 / GCP)
  • Understanding of distributed computing concepts
  • Experience working in Agile teams

Preferred skill sets

  • 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 (Associate / Professional)

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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