Visionary Data Engineering Leader

2 weeks ago


Nellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 2,02,50,000
Key Data Engineer Role

We are seeking a skilled Data Engineer to join our team and play a key role in building innovative data solutions that guide our clients on their digital transformation journey.

  • Responsibilities:
  • Design, build, and maintain robust and scalable data platforms using various services such as Azure Data Factory and Azure Synapse Pipelines.
  • Develop and implement conceptual, logical, and physical data models for data warehouses and data lakes.
  • Manage data storage and organization within Azure Data Lake Storage Gen2 and ensure proper folder structures, security, and data lifecycle management for raw, processed, and curated data zones.
  • Utilize tools like dbt (data build tool) to transform raw data into analytics-ready datasets.
  • Integrate and work with various Azure services such as Azure Synapse Analytics, Azure Databricks, Azure Functions, and Cosmos DB, to build a comprehensive data solution.
  • Implement and optimize Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to ensure data is moved efficiently and accurately.
  • Implement and maintain data security best practices and apply Role-Based Access Control (RBAC), managed identities, and Azure Key Vault to protect sensitive data.
  • Monitor and optimize the performance of data pipelines, queries, and data warehouse solutions.

Requirements:

  • 4+ years of proven experience with key Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
  • Strong proficiency in SQL and at least one programming language such as Python or Spark (PySpark, Scala).
  • Solid understanding of data warehousing principles, data modeling, and ETL/ELT concepts.
  • Experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.
  • Ability to work effectively with cross-functional teams to understand requirements and deliver data solutions.


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