Pi Square Technologies
Data Migration Specialist
Skills
24 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Remote
Published on:
29 September 2026
What they need
Role & responsibilities
Data migration specialist responsible for planning, mapping, extracting, transforming, loading, validating, and reconciling data into D365 CE / Dataverse. This role will work with functional and technical teams to ensure migrated data supports business processes and reporting needs.
5+ years of overall experience, with at least 3+ years in D365 CE / Dataverse data migration.
CANDIDATE EXPECTATIONS
Must understand migration complexity beyond simple imports, including relationship handling, incremental loads, mock runs, reconciliation, cutover planning, and data quality issue management.
– Candidates with hands-on experience using cloud migration and data engineering tools (Azure Data Factory, Databricks) are strongly preferred over those whose experience is limited to SQL-based ETL tools (e.g., Kingsway Soft/KWS).
WHAT YOU'LL OWN
– Define migration approach and data migration plan.
– Analyze source data.
– Create field mapping documents.
– Perform data cleansing and transformation.
– Build and execute migration jobs.
– Load data into Dataverse / D365 CE.
– Validate migrated records.
– Support mock migrations, cutover planning, and production migration.
– Troubleshoot migration errors.
– Provide reconciliation reports and data quality findings.
WHAT YOU BRING
– D365 CE / Dataverse data migration experience.
– Data mapping.
– Data transformation.
– Data validation.
– Dataverse import tools.
– SQL.
– Excel-based data analysis.
– Knowledge of lookup mapping, option sets, GUIDs, relationships, ownership, and security-related migration considerations.
– Strong preference for hands-on experience with cloud-native migration and data engineering tools, such as Azure Data Factory and Databricks, over traditional SQL-based ETL tools such as KingswaySoft (KWS).
PREFERRED / ADDED ADVANTAGE
– Azure Data Factory (preferred over SQL-based ETL tools).
– Databricks (preferred over SQL-based ETL tools).
– Power Query.
– Dataverse Web API.
– Dataflows.
– Synapse.
– SSIS.
– KingswaySoft.
– Experience migrating activities, notes, attachments, cases, accounts, contacts, custom entities, and audit/history data.
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