Unlocking Business Potential through Advanced Data Solutions

3 days ago

Palakkad, Kerala, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,20,000
Data Engineering Role

Unlock your full potential and take advantage of an exceptional opportunity to work with cutting-edge leaders and organizations shaping the future.

We are seeking a skilled Data Engineer with expertise in Azure, SQL Server, and Databricks to design, build, and manage scalable data pipelines and enterprise data solutions.

The ideal candidate will have deep knowledge of data warehousing concepts, ETL/ELT best practices, and data modelling. They will also be experienced in using Azure Data Factory (ADF) and Databricks for batch and real-time data processing, integrating data from various structured and unstructured sources, and building and maintaining data models, data marts, and data warehouses.

Key Responsibilities:
  • Design and develop ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Integrate data from various sources including SQL Server, Azure SQL Database, Azure Data Lake Storage, and external APIs.
  • Build and maintain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
  • Write efficient SQL queries, stored procedures, views, and triggers in SQL Server.
  • Use Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
  • Ensure data quality, integrity, security, and compliance across the pipeline.
  • Collaborate with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
Required Skills & Qualifications:
  • 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), including experience with Spark (Python or Scala).
  • Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
  • Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling.
  • Familiarity with data governance, RBAC, and data security practices in Azure.
  • Experience with CI/CD tools like Azure DevOps and version control with Git.
  • Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.

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