Azure Data Engineer

Location: Bengaluru

Greetings from LTIMindtree!
We are Hiring for Azure Data Engineer (PAN India)!
Notice Period:

-  0 to 60 Days only

Experience:

-  5 to 12 Years
Interview Mode :

- 2 rounds (1-Virtual, 1-F2F)
Hybrid (3 WFO)

Brief Description of Role

Job Summary:

We are seeking an experienced and strategic  Data  to design, build, and optimize scalable, secure, and high-performance data solutions. You will play a pivotal role in shaping our data infrastructure, working with technologies such as  Databricks, Azure Data Factory, Unity Catalog , and  Spark , while aligning with best practices in  data governance, pipeline automation , and  performance optimization .

Key Responsibilities:

• Design and develop scalable  data pipelines  using  Databricks  and  Medallion Architecture  (Bronze, Silver, Gold layers).

• Architect and implement  data governance  frameworks using  Unity Catalog  and related tools.

• Write efficient  PySpark  and  SQL  code for data transformation, cleansing, and enrichment.

• Build and manage data workflows in  Azure Data Factory (ADF)  including triggers, linked services, and integration runtimes.

• Optimize queries and data structures for  performance  and  cost-efficiency .

• Develop and maintain  CI/CD pipelines  using  Git Hub  for automated deployment and version control.

• Collaborate with cross-functional teams to define data strategies and drive  data quality  initiatives.

• Implement best practices for  Dev Ops, CI/CD , and  infrastructure-as-code  in data engineering.

• Troubleshoot and resolve  performance bottlenecks  across Spark, ADF, and Databricks pipelines.

• Maintain comprehensive documentation of  architecture, processes, and workflows .

Requirements:

• Bachelor’s or master’s degree in computer science, Information Systems, or related field.

• Proven experience as a Data Architect or Senior Data Engineer.

• Strong knowledge of  Databricks ,  Azure Data Factory ,  Spark (PySpark) , and  SQL .

• Hands-on experience with  data governance ,  security frameworks , and  catalog management .

• Proficiency in  cloud platforms  (preferably Azure).

• Experience with  CI/CD tools  and  version control  systems like Git Hub.

• Strong communication and collaboration skills.

Interested in joining our team?
Share your details through the link below to proceed or send your resume to Di with the subject line "Azure Data Engineer||  ||Notice period”.

Azure Data Engineer (5-12 Years) – Fill in form