Unlock Your Potential as a Master Data Architect

3 days ago

Amrāvati, Maharashtra, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

As a Data Engineer, you will design and develop data systems that drive business value. Our team works closely with analysts and scientists to deliver high-quality, scalable solutions.

Key Responsibilities:
  • We are looking for a skilled engineer to design and implement ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
  • You will integrate data from various structured and unstructured sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
  • The ideal candidate will have experience building and maintaining data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
  • You should be proficient in writing efficient and optimized SQL queries, stored procedures, views, and triggers in SQL Server.
  • Experience with Databricks (Spark with Python/Scala) is highly desired for processing large datasets for transformation and analytics.
  • You will ensure data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
  • Collaboration with stakeholders to define and deliver data solutions is essential.
  • You will also be responsible for implementing CI/CD pipelines using Azure DevOps.
  • Monitoring and optimizing the performance of data pipelines and queries across Azure and SQL Server environments is crucial.
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 ability to work collaboratively in a fast-paced environment.

At our organization, you will have the opportunity to grow professionally, collaborate with innovative leaders, and make a meaningful impact.

Our dynamic team values diversity, inclusion, and innovation. We empower our colleagues to lead, grow, and deliver their best while making a positive impact on society.

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