Senior Data Engineer

9 hours ago

Chennai Ascendas IT Park, India Toppan Merrill Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Description:

Responsibilities:

  • Develop & Optimize Data Pipelines
    • Build, test, and maintain ETL/ELT data pipelines using Azure Databricks & Apache Spark (PySpark).
    • Optimize performance and cost-efficiency of Spark jobs.
    • Ensure data quality through validation, monitoring, and alerting mechanisms.
    • Understand cluster types, configuration, and use-case for serverless
  • Implement Unity Catalog for Data Governance
    • Design and enforce access control policies using Unity Catalog.
    • Manage data lineage, auditing, and metadata governance.
    • Enable secure data sharing across teams and external stakeholders.
  • Integrate with Cloud Data Platforms
    • Work with Azure Data Lake Storage / Azure Blob Storage/ Azure Event Hub to integrate Databricks with cloud-based data lakes, data warehouses, and event streams.
    • Implement Delta Lake for scalable, ACID-compliant storage.
  • Automate & Orchestrate Workflows
    • Develop CI/CD pipelines for data workflows using Azure Databricks Workflows or Azure Data Factory.
    • Monitor and troubleshoot failures in job execution and cluster performance.
  • Collaborate with Stakeholders
    • Work with Data Analysts, Scientists, and Business Teams to understand requirements.
    • Translate business needs into scalable data engineering solutions.
  • API expertise
    • Ability to pull data from a wide variety of APIs using different strategies and methods

Required Skills & Experience:

  • Azure Databricks & Apache Spark (PySpark) – Strong experience in building distributed data pipelines.
  • Python – Proficiency in writing optimized and maintainable Python code for data engineering.
  • Unity Catalog – Hands-on experience implementing data governance, access controls, and lineage tracking.
  • SQL – Strong knowledge of SQL for data transformations and optimizations.
  • Delta Lake – Understanding of time travel, schema evolution, and performance tuning.
  • Workflow Orchestration – Experience with Azure Databricks Jobs or Azure Data Factory.
  • CI/CD & Infrastructure as Code (IaC) – Familiarity with  Databricks CLI, Databricks DABs, and DevOps principles.
  • Security & Compliance – Knowledge of IAM, role-based access control (RBAC), and encryption.

Preferred Qualifications:

  • Experience with MLflow for model tracking & deployment in Databricks.
  • Familiarity with streaming technologies (Kafka, Delta Live Tables, Azure Event Hub, Azure Event Grid).
  • Hands-on experience with dbt (Data Build Tool) for modular ETL development.
  • Certification in Databricks, Azure  is a plus.
  • Experience with Azure Databricks Lakehouse connectors for SalesForce and SQL Server
  • Experience with Azure Synapse Link for Dynamics, dataverse
  • Familiarity with other data pipeline strategies, like Azure Functions, Fabric, ADF, etc

Soft Skills:

  • Strong problem-solving and debugging skills.
  • Ability to work independently and in teams.
  • Excellent communication and documentation skills.

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