Job Description

We are looking for a Senior Databricks Engineer with 7+ years of experience in data engineering and strong hands-on expertise in Databricks and Apache Spark. The ideal candidate will design and build scalable data pipelines, optimize large-scale data processing, and work with cloud-based data platforms.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
  • Develop and optimize PySpark/Spark jobs for large-scale data processing.
  • Build reliable ETL/ELT pipelines using Databricks workflows, Delta Lake, and SQL.
  • Implement data transformations, data quality checks, and performance optimization.
  • Work with cloud data platforms such as AWS, Azure, or GCP.
  • Optimize Spark jobs, cluster configurations, partitioning, joins, and data processing performance.
  • Collaborate with data engineers, data scientists, analysts, and business teams to deliver data solutions.
  • Implement best practices for CI/CD, version control, monitoring, and production support.
  • Troubleshoot data pipeline and performance issues in production environments.

Required Skills

  • 7+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks.
  • Strong expertise in Apache Spark / PySpark.
  • Experience with Delta Lake, Databricks Workflows, and Spark SQL.
  • Strong proficiency in Python and SQL.
  • Experience building and optimizing large-scale ETL/ELT pipelines.
  • Experience with at least one cloud platform: AWS, Azure, or GCP.
  • Good understanding of data warehousing, data modeling, and distributed data processing.
  • Experience with Git and CI/CD practices.

Preferred Skills

  • Experience with Unity Catalog and Databricks governance.
  • Experience with Azure Data Factory, AWS Glue, or similar orchestration tools.
  • Knowledge of streaming technologies such as Kafka or Spark Structured Streaming.
  • Experience with Infrastructure as Code or cloud automation.
  • Databricks certifications are a plus.



Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Chennai ,Tamil Nadu
Company Website: http://www.numentica.com Job Function: Data Science & AI
Company Industry/
Sector:
IT Services and IT Consulting

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