Unlock Potential as a Scalable Data Engineer

3 days ago

Jaipur, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
About the Role

Your potential, unleashed.

India's impact on the global economy has grown exponentially. Deloitte presents an opportunity to unleash and realise your potential amongst cutting-edge leaders and organisations shaping the future of the region and beyond.

At Deloitte, you will have the chance to combine your skills with our drive to propel with purpose, creating a perfect playground to collaborate, innovate, grow and make an impact that matters.

Job Summary

We are seeking a skilled and detail-oriented data engineer with deep expertise in Azure, SQL Server and Databricks to design, build and manage scalable data pipelines and enterprise data solutions. This role will be critical in supporting analytics, reporting and data science initiatives by delivering high-quality, reliable and performant data systems.

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 Sources: Including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS) and external APIs.
  • Build and Maintain Data Models, Marts and Warehouses: Using SQL Server and Azure Synapse Analytics.
  • Write Efficient and Optimized SQL Queries: Stored procedures, views and triggers in SQL Server.
  • Use Databricks for Large Dataset Processing: Transformation and analytics using Spark with Python/Scala.
  • Ensure Data Quality, Integrity, Security and Compliance: Across the pipeline using data validation, monitoring and auditing techniques.
  • Collaborate with Stakeholders: Define and deliver data solutions with data analysts, data scientists and business stakeholders.
  • Implement CI/CD Pipelines: Using Azure DevOps.
  • Monitor and Optimize Performance: Of data pipelines and queries across Azure and SQL Server environments.

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 (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.

Grow with Us

Deloitte offers opportunities for professional growth and development, focusing on collaboration, innovation and impact. Our team of professionals is committed to making a difference in the world and we welcome individuals who share our values and passion for excellence.

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