Senior Data Engineer

7 days ago

Davangere, Karnataka, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Unleash your career potential in data engineering by designing and building scalable pipelines and enterprise solutions.

This position involves developing expertise in Azure, SQL Server, and Databricks to manage data processing and ensure data quality, integrity, security, and compliance.

Key Responsibilities
  • Develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
  • Integrate data from various sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
  • Build and maintain data models, data marts, and warehouses using SQL Server and Azure Synapse Analytics.
  • Write efficient SQL queries, stored procedures, views, and triggers in SQL Server.
  • Process large datasets for transformation and analytics using Databricks (Spark with Python/Scala).
  • Collaborate with data analysts, scientists, and stakeholders to define and deliver data solutions.
  • Implement CI/CD pipelines using Azure DevOps.
  • Monitor and optimize the performance of pipelines and queries across environments.

About You:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering or related roles.
  • Proven experience with Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse.
  • Databricks (Azure implementation), Spark (Python or Scala).
  • Microsoft SQL Server: Writing advanced SQL, stored procedures, performance tuning.
  • Strong understanding of data warehousing concepts, ETL/ELT best practices, data modeling (star/snowflake schema).
  • Familiarity with data governance, RBAC, data security practices in Azure.
  • Experience with CI/CD tools like Azure DevOps, version control with Git.
  • Excellent problem-solving skills, ability to work collaboratively in a fast-paced environment.

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