DataBricks - Data Engineering

2 weeks ago

Bengaluru, Karnataka, India Wipro Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Key Responsibilities

  • Design scalable ETL/ELT data pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  • Develop data ingestion workflows for structured and semi-structured data sources, including IoT streams and batch files.
  • Define and enforce data modeling standards for the raw, curated, and semantic layers in ADLS Gen2.
  • Create PySpark jobs and reusable transformation frameworks for cleansing, validation, and enrichment.
  • Oversee data partitioning, versioning, and metadata strategies to ensure high performance and maintainability.
  • Coordinate with ML engineers to support feature engineering pipelines and training datasets.
  • Mentor data engineers, conduct code reviews, and enforce best practices in CI/CD workflows.
  • Implement monitoring and alerting for data pipelines, including performance metrics and SLA tracking.

Experience and Qualifications

  • 5+ years in data engineering roles on Azure data platforms.
  • Experience building large-scale data solutions processing real-time and batch workloads.
  • Strong understanding of data governance, quality, and security practices
  • Microsoft Azure Data Engineer Associate certification is a plus.

Primary Skills and Technologies

Azure Data Factory, Azure Databricks, Synapse Analytics, PySpark, Data Lake Gen2, ETL Frameworks, Data Modeling, Azure DevOps for Data CI/CD, Delta Lake.

Mandatory Skills: DataBricks - Data Engineering .

Experience: 5-8 Years .

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