Job Description

Job Description

Role: Senior Engineer – Azure Databricks
Experience: 5–8 Years
Location: Chennai / Kochi / Mumbai
Work Mode: On-site

Job Summary:

We are looking for a Senior Engineer with strong expertise in Azure Databricks and cloud data engineering to build and maintain scalable ETL pipelines and data platforms on Azure.

Key Responsibilities:

  • Design, develop, and manage ETL pipelines using Azure Databricks and PySpark

  • Integrate and process data using Azure Data Lake Storage (ADLS)

  • Orchestrate workflows and schedule jobs on Databricks

  • Perform performance tuning, optimization, and system maintenance

  • Automate operational tasks and support incident resolution

  • Collaborate with stakeholders and participate in Agile ceremonies

Required Skills:

  • Hands-on experience with Azure Databricks for ETL and big data pipelines

  • Strong PySpark and ETL development skills

  • Proficiency in Azure Data Lake Storage (ADLS)

  • Experience with Apache NiFi for data ingestion and workflows

  • Good problem-solving and troubleshooting skills

Good to Have:

  • Exposure to Azure Synapse, Azure Data Factory, Azure SQL, or Azure Functions

  • Knowledge of streaming or real-time data pipelines

  • Strong communication and cross-team collaboration skills




Requirements
Azure Databricks, ETL Development, Azure Data Lake Storage, PySpark, Apache NiFi, Azure Cloud Services

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