Databricks Data Engineer

5 - 10 years

7 - 12 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role:

We are seeking an experienced Databricks Data Engineer with 5+ years of experience to design, build, and optimize scalable, high-performance data pipelines and analytics solutions using the Databricks platform. The ideal candidate will play a key role in architecting data platforms and mentoring junior engineers.

Key Responsibilities

  • Design, develop, and optimize large-scale ETL/ELT pipelines using Databricks, Spark, and Python .
  • Architect and manage Delta Lake tables for high-performance analytics.
  • Ingest and process structured and unstructured data from multiple sources.
  • Optimize Spark workloads for performance, scalability, and cost efficiency .
  • Implement robust data quality, monitoring, logging, and alerting frameworks.
  • Lead integration with cloud services (Azure/AWS/GCP) and data orchestration tools.
  • Drive CI/CD automation for data pipelines and notebook deployments.
  • Enforce data security, governance, and compliance standards.
  • Collaborate with architects, data scientists, analysts, and business stakeholders.
  • Mentor junior engineers and drive engineering best practices.

Ideal Candidate Profile

  • 5+ years of hands-on experience in Data Engineering.
  • Strong expertise in Databricks Apache Spark.
  • Advanced proficiency in Python PySpark.
  • Strong command of SQL performance tuning.
  • Hands-on experience with Delta Lake Parquet.
  • Solid experience with cloud platforms (Azure/AWS/GCP).
  • Strong knowledge of data warehousing concepts (Star Schema, SCD).
  • Experience with ETL/ELT orchestration tools (ADF, Airflow, etc.).
  • Exposure to CI/CD automation and Git-based version control.
  • Strong understanding of data security, governance, and access control.
  • Excellent communication, leadership, and problem-solving skills.
  • Experience working in Agile/Scrum delivery models.

Good to have

  • Databricks Certified Data Engineer (Associate/Professional)
  • Experience with real-time/streaming data (Kafka, Event Hubs)
  • Exposure to ML workflows in Databricks

Why Join Exponentia.ai

  • Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
  • Shape the Practice: Build a marquee capability from the ground up with full ownership
  • Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
  • Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
  • Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
  • Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us

  • Apply now and become a part of a next-gen tech company that s setting benchmarks in enterprise AI solutions.

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