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Data Engineer - Databricks

Actively Reviewing the Applications

Dataplatr

India, Tamil Nadu, Coimbatore Full-Time
Posted 5 days ago • Apply by June 17, 2026

Job Description

Job Title: Data Engineer - Databricks

Experience: 5+ Years

Location: Coimbatore

Employment Type: Full-time - Hybrid


Job Summary:

We are looking for a highly skilled Data Engineer with strong expertise in Databricks, SQL, and modern data engineering practices. The ideal candidate should be Databricks certified and capable of building scalable, high-performance data pipelines to support analytics and business intelligence needs.


Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build and optimize ETL/ELT workflows for large-scale data processing.
  • Write complex and optimized SQL queries for data transformation and analysis.
  • Work with big data technologies like Apache Spark (PySpark).
  • Ensure high data quality, reliability, and performance.
  • Collaborate with cross-functional teams including Data Science, Analytics, and Business teams.
  • Implement data governance, security, and best practices.
  • Troubleshoot and optimize data workflows for performance and cost efficiency.


Required Skills:

  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks (Spark, Delta Lake).
  • Advanced proficiency in SQL.
  • Experience with Python / PySpark.
  • Strong understanding of data modeling and ETL/ELT processes.
  • Experience with cloud platforms such as AWS / Azure / GCP.


Certifications:

  • Databricks Certified Data Engineer Associate or Professional (highly preferred)


Nice to Have:

  • Experience with Airflow or other orchestration tools.
  • Familiarity with Snowflake, BigQuery, or Redshift.
  • Experience with real-time data processing (Kafka, streaming).
  • Exposure to BI tools like Power BI or Tableau.

Required Skills

Python Cloud Platforms Apache Spark SQL AWS Snowflake BigQuery Microsoft Azure Google Cloud Platform Power BI Tableau Data Governance Amazon Redshift Apache Kafka Databricks ETL Data Science Business Intelligence Apache Airflow Data transformation Data pipelines PySpark Stream processing ELT
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