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Senior Data Pipeline Specialist

3 weeks ago

Mount Abu, Rajasthan, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

Unlock Your Career Potential

As a skilled professional in data engineering, you will have the opportunity to make a meaningful impact in shaping the future of data and analytics.

  • Job Overview: We are seeking a detail-oriented Data Engineer with expertise in Azure, SQL Server, and Databricks 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.
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.

Benefits:

  • Opportunity to work on cutting-edge technology and projects.
  • Chance to collaborate with experienced professionals and learn from them.
  • Flexible working hours and remote work options.
  • Professional growth and development opportunities.

Other Opportunities:

  • Participate in hackathons and innovation challenges.
  • Attend industry conferences and workshops.
  • Access to training programs and online courses.