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Azure Data Bricks

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

  • Lead the design and implementation of enterprise-scale data platforms on Azure.
  • Drive architecture, development, and optimization of data pipelines using Azure Databricks.
  • Develop scalable ETL/ELT solutions using PySpark and Spark frameworks.
  • Lead data ingestion, transformation, and processing for structured and unstructured data.
  • Design Lakehouse architectures for enterprise reporting and analytics.
  • Collaborate with business stakeholders, architects, and analytics teams to define data solutions.
  • Ensure platform scalability, performance, security, and cost optimization.
  • Establish Data Engineering best practices, coding standards, and CI/CD processes.
  • Mentor and guide a team of data engineers and provide technical leadership.
  • Support customer-facing discussions, solution design workshops, and architecture reviews.

Skills

  • microsoft-azure
  • azure-databricks
  • databricks
  • pyspark
  • Spark

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