Posted:6 days ago|
Platform:
On-site
Full Time
Job Title - Data Migration & Automation Engineer
Total exp : 5 Years to 8 Years
Location - Bangalore, Pune, Hyderabad, Chennai, Noida, Kolkata, Mumbai,Coimbatore.
Interview Mode : Virtual
Job Description-
Job Description:
We are seeking a highly skilled and detail-oriented Data Migration & Automation Engineer with strong experience in MongoDB, MS SQL Server/Azure SQL Database, and hands-on expertise across both SQL and NoSQL environments. The ideal candidate will have a proven track record in data migration, automation of pipelines for data comparison and validation, and working with heterogeneous database systems. Experience in PostgreSQL is desirable as a secondary skill.
Key Responsibilities:
Design and implement backend solutions to support data-intensive migration workflows
Lead and execute data migration strategies across diverse systems including SQL and NoSQL databases
Develop and maintain automated pipelines for data comparison, validation, and transformation
Ensure data integrity, consistency, and security during migration and transformation processes
Collaborate with cross-functional teams to define and refine data management and migration strategies
Troubleshoot and optimize performance in MongoDB and MS SQL Server/Azure SQL DB environments
Document standards, processes, and best practices for data operations and migration
Required Skills & Qualifications:
5+ years of experience in backend development and database engineering
Strong hands-on experience with MongoDB (NoSQL) and MS SQL Server / Azure SQL Database
Solid understanding of data migration, transformation, and automation
Proficiency in SQL scripting and data comparison techniques
Experience in building automated ETL/ELT pipelines and scripting with Python or Shell
Exposure to CI/CD pipeline tools for automation workflows
Understanding of data governance, compliance, and security best practices
Strong problem-solving abilities and attention to detail
Excellent communication and collaboration skills
Preferred / Secondary Skills:
Working knowledge of PostgreSQL (as a secondary RDBMS)
Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with containerization tools like Docker/Kubernetes
Exposure to big data technologies and data lakes is a plus
LTIMindtree
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