25,095 Data Migration jobs in India

ducation Qualification- 

Competencies- 

Must have migration skills

Must have experience on S/4 HANA 

Master Data management experience 

Certificates-

SAP Certified Technology Associate - OS/DB Migration for SAP NetWeaver 7.52 

Skills-

Must have good Data migration skills,

Good experience S/4 HANA database 

Must have experience on SAP experience on other modules 

Greetings from Netsach - A Cyber Security Company.

We are looking for an experienced SAP MDG Applications consultant and candidate must have worked in S4/HANA for at least one AMS or implementation Project.

Job Title: SAP Data & MDG Application

Exp: 5-10yrs

No of Openings: 3

Job Location: Bangalore/Hyderabad/Mumbai/Kolkata

Work Type: Fulltime - Hybrid

Interested candidates please share your resume at and post in netsachglobal.com.

Experience of working in S4/HANA for at least one AMS or implementation Project.

Along with the above, the candidate should have strong knowledge in: 

In-depth exposure to SAP MDG applications - F, S, C, M (Financial Master Data, Supplier, Customer and Material Master Data maintenance)

Prior functional experience with Data Migration, SAP FI, SAP SD or SAP MM modules 

Participate in requirement gathering sessions and then document the FSD

Good understanding on MDG standard process and should be able to guide user around MDG

Experience in SAP MDG S4HANA Configuration (Including Data Model, BRFPlus and Floor Plan manager )

Experience in configuration rule-based workflow

Experience in integration business process requirements with technical implementation of SAP Master Data Governance.

Experience in developing user statistics reports in MDG.

Knowledge on generating statistics reports for material master data cleansing activities.

Thank You

Emily Jha

Netsach - A Cyber Security Company

Job Title :
Data Migration Engineer

Location :
Kochi

Mode :
Work From Office

Position Overview
We are seeking an experienced Data Migration Engineer to lead and execute complex data migration projects from legacy systems to our Snowflake data warehouse within the Azure ecosystem.

Key Responsibilities

• Design and implement data migration strategies from legacy systems to Snowflake.
• Conduct data discovery, profiling, and mapping of source systems.
• Develop ETL/ELT pipelines using Azure Data Factory and Azure Synapse.
• Configure and optimize Snowflake warehouses, databases, and schemas.
• Implement data validation frameworks and automated testing procedures.
• Leverage Azure Data Lake Storage Gen2 for data staging and processing.
• Establish data quality checks and validation rules throughout migration process.
• Monitor and optimize performance for both Azure services and Snowflake.
• Create technical documentation for migration processes and procedures.

Required Qualifications Skills

• 5+ years of experience in data migration and ETL/ELT development.
• Expert-level proficiency with Snowflake architecture and best practices.
• Strong experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake

Storage Gen2.

• Advanced SQL skills with complex query optimization experience.
• Proficiency in Python or PowerShell scripting.
• Experience with data modeling and schema design.
• Knowledge of data integration patterns and API development.

Platform Experience

• Azure certification (AZ-104, DP-203, or equivalent) preferred.
• Snowflake certification (SnowPro Core or Advanced) preferred.
• Experience with data profiling and data quality tools.
• Understanding of data governance and compliance requirements.
• Knowledge of change data capture (CDC) and real-time data Skills :
• Strong analytical and problem-solving abilities.
• Excellent communication skills for technical and non-technical stakeholders.
• Project management experience with Agile methodologies.
• Ability to work independently and manage multiple concurrent Softobiz :

Innovation begins with like-minded people aiming to transform the world together.

At Softobiz, we invite you to become a part of an organization that has been helping clients transform their business by fusing insights, creativity, and technology.

With a team of 300+ technology enthusiasts, we have been trusted by leading enterprises around the globe for over 12+ years.

At Softobiz, we foster a culture of equality, learning, collaboration, and creative freedom, empowering our employees to grow and excel in their careers.

Our technical craftsmen are pioneers in the latest technologies like AI, machine learning, and product development.

)

Job Description
Data Migration Engineer
About Oracle FSGIU - Finergy:

The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals.

Job Summary:
We are seeking a skilled Data Migration Engineer with expertise in AWS, Databricks, Python, PySpark, and SQL to lead and execute complex data migration projects. The ideal candidate will design, develop, and implement data migration solutions to move large volumes of data from legacy systems to modern cloud-based platforms, ensuring data integrity, accuracy, and minimal downtime.

Job Responsibilities
Software Development:

• Design, develop, test, and deploy high-performance and scalable data solutions using Python, PySpark, SQL
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Implement efficient and maintainable code using best practices and coding standards.

AWS & Databricks Implementation:

• Work with Databricks platform for big data processing and analytics.
• Develop and maintain ETL processes using Databricks notebooks.
• Implement and optimize data pipelines for data transformation and integration.
• Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
• Leverage PySpark for large-scale data processing and transformation tasks.

Continuous Learning:

• Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks.
• Share knowledge with the team and contribute to a culture of continuous improvement.

SQL Database Management:

• Utilize expertise in SQL to design, optimize, and maintain relational databases.
• Write complex SQL queries for data retrieval, manipulation, and analysis.

Qualifications & Skills:

• Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees are a plus.
• 3 to 5+ Years of experience in Databricks and big data frameworks
• Proficient in AWS services and data migration
• Experience in Unity Catalogue
• Familiarity with Batch and real time processing
• Data engineering with strong skills in Python, PySpark, SQL
• Certifications: AWS Certified Solutions Architect, Databricks Certified Professional, or similar are a plus.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment.

Responsibilities
Job Responsibilities
Software Development:

• Design, develop, test, and deploy high-performance and scalable data solutions using Python, PySpark, SQL
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Implement efficient and maintainable code using best practices and coding standards.

AWS & Databricks Implementation:

• Work with Databricks platform for big data processing and analytics.
• Develop and maintain ETL processes using Databricks notebooks.
• Implement and optimize data pipelines for data transformation and integration.
• Utilize AWS services (e.g., S3, Glue, Redshift, Lambda) and Databricks to build and optimize data migration pipelines.
• Leverage PySpark for large-scale data processing and transformation tasks.

Continuous Learning:

• Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks.
• Share knowledge with the team and contribute to a culture of continuous improvement.

SQL Database Management:

• Utilize expertise in SQL to design, optimize, and maintain relational databases.
• Write complex SQL queries for data retrieval, manipulation, and analysis.

Qualifications
Career Level - IC1

About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation- or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Data Migration Specialist

As a Data Migration Specialist, you will be responsible for securely and accurately transferring data from legacy ERP systems to Deltek Vantagepoint. This role requires strong Microsoft SQL skills and a deep understanding of data structures, relationships, and strategy. You will work closely with the project team to plan, manage, and execute data migration projects.

Responsibilities:

• Collaborate with project teams to determine data migration requirements.
• Understand and map data structures to ensure accurate data transfer.
• Perform data analysis on legacy systems.
• Develop and implement migration scripts and procedures.
• Thoroughly test the migration process.
• Review and assess data to identify potential issues.
• Reconcile data between legacy systems and migrated data.
• Execute data migration in a production environment.
• Collaborate with Operations to design, build, and customize reports using Microsoft Visual Studio.
• Create workflows in Deltek Vantagepoint.
• Research and develop new technologies and tools related to Deltek Vantagepoint.
• Provide ongoing technical support and troubleshooting assistance.
• Serve as a subject matter expert on Deltek Vantagepoint.

Qualifications:

• Proficiency in writing complex SQL queries for data extraction, transformation, and loading into Deltek Vision/Vantagepoint.
• Experience with relational databases, including tables, views, queries, T-SQL, and stored procedures.
• Ability to develop complex queries and stored procedures using SQL for Deltek Vision/Vantagepoint workflows and custom reports.
• Thorough understanding of database systems and data migration techniques.
• Strong analytical and problem-solving skills.
• Excellent troubleshooting abilities.
• Ability to work collaboratively with project teams.
• Attention to detail and commitment to data accuracy.
• Ability to work independently and within a team environment.
• Understanding of data usage and implications for data migration.
• Experience in developing best practices, processes, and standards for data migration activities.
• Experience in data mapping between legacy systems and Deltek Vision/Vantagepoint.
• Experience in data extraction and cleansing.
• Experience working with ERP systems (Deltek Vision/Vantagepoint) and understanding their data structures.
• Knowledge of accounting principles.
• 5+ years of development experience with Microsoft SQL Server.
• Experience in professional services is preferred but not required.
• Proficiency in Deltek Vision/Vantagepoint is required.

We await your innovation at TCS: Hiring |Data Migration Architect (AWS/Azure)|

Greetings from TCS!

Interview Mode: Virtual

Required Experience: 10-16 years

Work location: PAN INDIA

Experience: 10+ years (with at least 2–3 end-to-end Data Migration projects on AWS and Azure)

Role Overview

We are seeking a seasoned Data Migration Architect with strong expertise in AWS and Azure cloud ecosystems. The ideal candidate will design and lead large-scale, complex data migration initiatives, ensuring a secure, cost-efficient, and high-performance transition of enterprise data from on-premises or legacy platforms to the cloud. This role requires hands-on experience in migration assessments, strategy creation, DataOps implementation, and CI/CD automation.

Required Skills & Experience:

Proven experience delivering 2–3 full-cycle Data Migration projects on both AWS and Azure platforms.

Deep understanding of cloud data services, including storage, compute, and networking components across hyperscalers.

Strong knowledge of relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB, DynamoDB, Cosmos DB).

Proficiency with ETL/ELT tools, data modeling, and big data technologies (e.g., Spark, Databricks).

Hands-on experience with DataOps frameworks, CI/CD tools, and infrastructure-as-code (Terraform, CloudFormation, ARM templates).

Familiarity with data governance, security best practices, and performance tuning.

Excellent communication skills for stakeholder management and solution presentation.

Role Highlights:

Position: Data Migration Lead

Experience: 10+ years

Location: Pune- WFO

Notice Period: Immediate/15 days joiners preferred.

Job Overview:

10+ yrs of experience in data migration, data integration, or data management roles.

Proven experience leading at least one full-cycle data migration for a major ERP, HCM, or CRM implementation.

Experience working with ERP platforms such as SAP, Oracle, BAAN etc.

Experience with Data migration tools.

Strong understanding of data modelling, master data management (MDM), and data governance.

Excellent problem-solving skills and attention to detail.

Strong communication, stakeholder management, and leadership skills.

Project Management Skills.