Live opening · Posted 1 day ago

Data Migration Specialist (Salesforce / Enterprise Systems)

Zensar Technologies · Chennai, Tamil Nadu, India
Oracle
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyZensar Technologies
LocationChennai, Tamil Nadu, India
SkillsSalesforce
SourceOracle
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Data Migration Specialist (Salesforce / Enterprise Systems)
Experienced Data Migration Specialist responsible for end-to-end data migration, ETL processes, and support across systems like Salesforce, Oracle, NetSuite, and Snowfl ake. Ensures high-quality, accurate, and scalable data movement aligned with business needs.
Technical Skills & Qualifications
● 3–5 years of experience in data migration / ETL / data engineering.
● Strong experience with large data volumes and Snowflake.
● Proficient in SQL, XML, JSON, REST, SOAP APIs.
● Strong knowledge of data validation, deduplication, and ETL processes.
Data & Domain Expertise
● Experience with Salesforce, Oracle, NetSuite, or similar systems.
● Understanding of data integration patterns and APIs.
● Basic knowledge of Salesforce processes (Account, Contacts, Opportunity, Quoting) is a plus.
Soft Skills
● Strong problem-solving and analytical skills
● Effective communication and stakeholder coordination
● Detail-oriented with high ownership and accountability
Key Responsibilities
● Plan and execute data migration strategies, including extraction, transformation, and loading (ETL).
● Analyze source systems and define data mapping, cleansing, and deduplication processes.
● Collaborate with stakeholders to gather requirements and ensure business alignment.
● Validate and reconcile migrated data for accuracy and completeness.
● Develop migration best practices, frameworks, and documentation.
● Implement testing strategies and ensure data quality.
Support Responsibilities
● Provide L2/L3 support for migration and post-migration issues.
● Troubleshoot data errors, inconsistencies, and performance issues.
● Perform root cause analysis and ensure data integrity.
● Monitor ETL jobs, support deployments, and manage data fixes.

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