Innovative Data Engineer Wanted

2 days ago

Ajmer, Rajasthan, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,10,00,000
Unlock Your Data Engineering Potential

Are you ready to unleash your potential and make a meaningful impact in the world of data engineering? Look no further than innovative thinkers who shape the future.

As a data engineer, you will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals who share your passion for data-driven solutions. Our team is dedicated to delivering high-quality, reliable, and performant data systems that drive business success.

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.
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:

At our organization, we believe in empowering our people to reach their full potential. We offer opportunities for growth, development, and innovation in a dynamic and inclusive environment. Join us in shaping the future of data engineering and making a meaningful impact on the world.

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