Walk-in | AZURE DATA Engineer +Pyspark+DATA Bricks- WALK IN 31 OCT Banglore

Tata Consultancy Services

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

4 days ago
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Job summary

Tata Consultancy Services Limited is seeking an Azure Data Engineer Databricks to design and operate data solutions using Azure SQL, Azure Data DW, and Data Lake Store. The role emphasizes cloud-based data integration, governance, and collaboration with client teams to deliver robust data platforms.

Ideal candidates have hands-on experience with Azure Databricks and Data Factory, strong data modeling skills, and excellent communication to handle client interactions effectively.

Qualifications

  • Implementation and operations of OLTP, OLAP, DW technologies such as Azure SQL, Azure SQL DW, Azure Data Lake Store and Azure Data Factory.
  • Azure Cloud, Azure Databricks, Data Factory knowledge are good to have, otherwise any cloud exposure.
  • Ability to gather requirements from client side and explain to tech team members.
  • Resolve conflicts in terms of bandwidth or design issues.
  • Good understanding of data modeling, data analysis, data governance.
  • Very good communication skills and client handling skills.

Responsibilities

  • Gather client requirements and translate them into technical designs for data solutions.
  • Collaborate with engineering teams to implement OLTP/OLAP/DW architectures using Azure services.
  • Support data governance and ensure quality across data pipelines and warehouses.

Skills

Azure SQL
Pyspark
Azure SQL DW
Azure Data Lake Store
Azure Data Factory
Azure Cloud

Tools

Azure Databricks
Azure Data Factory

Job description

Role :Azure Data Engineer Databricks

Required Technical Skill Set: Azure SQL, Pyspark ,Azure SQL DW, Azure Data Lake Store , Azure Data Factor


Must have

  • Implementation, and operations of OLTP, OLAP, DW technologies such as Azure SQL, Azure SQL DW, , Azure Data Lake Store , Azure Data Factory and understanding of Microsoft Azure PaaS features.
  • Azure Cloud ,Azure Databricks, Data Factory knowledge are good to have, otherwise any cloud exposure
  • Ability to gather requirements from client side and explain to tech team members.
  • Resolve conflicts in terms of bandwidth or design issues.
  • Good understanding of data modeling, data analysis, data governance.
  • Very good communication skills and client handling skills
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