Data Engineer

3 days ago


Bengaluru, Karnataka, India Tenjumps Softech Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job Description: Data Engineer (Azure Databricks)

About the Role

We are looking for a passionate Data Engineer experienced in building scalable, high-performance data platforms on Azure Databricks. The ideal candidate will have strong hands-on experience in ETL/ELT pipeline development, data modeling, and performance optimization, with a focus on delivering clean, reliable, and business-ready data.

Key Responsibilities

  • Design, develop, and optimize end-to-end ETL/ELT pipelines using Azure Databricks, Synapse, and Data Factory (ADF)
  • Implement Medallion / Delta Lake architectures ensuring quality and consistency of data
  • Build and maintain data lake and warehouse solutions supporting analytical and reporting needs
  • Optimize Spark jobs and pipeline performance through tuning and best practices
  • Develop data models (Star/Snowflake) and implement SCD Type 1 & 2 for dimensional data
  • Automate data ingestion, transformation, and validation to improve efficiency and reduce manual work
  • Integrate data from multiple sources (APIs, databases, structured/unstructured files)
  • Collaborate with cross-functional teams across data, BI, and business units to ensure data readiness
  • Manage and deploy code using Azure DevOps and version control systems
  • Maintain documentation and follow SDLC best practices in agile environments

Required Skills

  • 35 years of experience in Data Engineering
  • Proficient in Python, PySpark, SparkSQL, and Advanced SQL
  • Strong hands-on experience in Azure Databricks, ADF, ADLS, Synapse
  • Excellent understanding of data modeling and warehouse design
  • Experience in performance tuning and pipeline optimization
  • Working knowledge of CI/CD, Git, and Azure DevOps
  • Good understanding of data governance, metadata, and automation frameworks

Good to Have

  • Exposure to AWS or multi-cloud environments
  • Knowledge of Power BI / data visualization integration
  • Experience working with API-based data ingestion
  • Certifications such as Databricks Data Engineer Associate or Azure Data Engineer Associate

Certifications

  • Databricks Data Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Azure Data Fundamentals

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