Chief Data Architect

2 days ago

Dombivli, Maharashtra, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Unlock Your Potential

We are seeking a highly skilled and detail-oriented professional to join our team as a Data Engineer.

This role will be critical in supporting our analytics, reporting, and data science initiatives by delivering high-quality, reliable, and performant data systems.

The ideal candidate will have deep expertise in Azure, SQL Server, and Databricks and be able to design, build, and manage scalable data pipelines and enterprise data solutions.

Key Responsibilities:
  • Design, develop, and manage ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
  • 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 business stakeholders to define and deliver data solutions.
  • Implement CI/CD pipelines using Azure DevOps.
  • Monitor and optimize the performance of data pipelines and queries across Azure and SQL Server environments.
Requirements:
  • 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 (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 (star/snowflake schema).
  • 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 the ability to work collaboratively in a fast-paced environment.
Why Us?
  • We value diversity and inclusion.
  • We offer opportunities for growth and development.
  • We prioritize work-life balance.

We welcome applications from qualified candidates who are passionate about data engineering and want to make a meaningful impact.

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