Data Architect Specialist

1 week ago

Mumbai, Maharashtra, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Unlock Your Data Engineering Potential

As a key player in our analytics and reporting initiatives, you will design, build, and manage scalable data pipelines and enterprise data solutions using cutting-edge technologies like Azure Data Factory (ADF), Databricks, and SQL Server.

Key Responsibilities:
  • Develop and manage ETL/ELT pipelines for batch and real-time data processing using ADF and Databricks.
  • Integrate data from various structured and unstructured sources, including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
  • Build and maintain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
  • Write efficient and optimized 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 using data validation, monitoring, and auditing techniques.
  • Collaborate with data analysts, data scientists, and stakeholders to define and deliver data solutions.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, 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, Microsoft SQL Server, and strong understanding of data warehousing concepts, ETL/ELT best practices, and data modeling.
  • Familiarity with data governance, RBAC, and data security practices in Azure.
  • Experience with CI/CD tools like Azure DevOps and version control with Git.
What You'll Get:
  • A challenging role that allows you to grow professionally and personally.
  • A dynamic team environment that fosters collaboration and innovation.
  • Opportunities for professional development and growth.
How To Apply:

Don't miss out on this opportunity to unlock your data engineering potential. If you're a motivated and talented individual who is passionate about data engineering, we want to hear from you.

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