Azure Data Engineer Transformation Specialist

5 days ago


Kolkata, West Bengal, India Tata Consultancy Services Full time

Are you looking for a challenging role that leverages your expertise in data engineering and analytics?

About the Role

Tata Consultancy Services is seeking an experienced Azure Data Engineer to join our team. As a key member of our team, you will be responsible for designing, developing, and maintaining large-scale data pipelines using Azure Synapse Analytics/Azure Databricks.

Key Responsibilities
  • Design and implement data processing workflows using Pyspark and Azure Synapse Analytics/Azure Databricks
  • Develop and maintain data pipelines for integrating, transforming, and consolidating data from various structured and unstructured data sources
  • Collaborate with cross-functional teams to design and implement serverless architecture and Azure functions
  • Build robust data pipelines using Azure Data Factory and ADLS
Requirements

To be successful in this role, you should have:

  • 4+ years of relevant experience in Pyspark and Azure Synapse Analytics/Azure Databricks
  • Strong experience in SQL or native SQL query languages
  • Good experience in implementing synapse analytics/Databricks notebooks using Python/Pyspark
  • Advanced working knowledge in building robust data pipelines using ADF
  • Experience in working with relational/non-Relational databases, query optimization
  • Exposure to Jira and Confluence
  • Experience in working in an Agile project management environment
What We Offer

In addition to a competitive salary range of ₹1,200,000 - ₹1,800,000 per annum, we offer:

  • A dynamic and collaborative work environment
  • Ongoing training and development opportunities
  • A comprehensive benefits package
How to Apply

If you are a motivated and experienced data engineer looking for a new challenge, please submit your updated resume along with your current and preferred location, current company, total and relevant experience, current CTC and expected CTC, and notice period.



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