Negotiable
Undetermined
Remote
Remote
Summary: The Senior Data Engineer will lead Salesforce data migration projects, focusing on the transfer of data from Snowflake and on-prem systems to Salesforce. This role requires collaboration with cross-functional teams to ensure data accuracy, quality, and compliance throughout the migration process. The engineer will design ETL workflows, perform data profiling, and implement data quality checks. Strong experience with IBM DataStage and SQL is essential for success in this position.
Key Responsibilities:
- Design source-to-target mapping with transformation and validation rules
- Develop ETL workflows using IBM DataStage, SQL, and Python
- Perform data profiling, cleansing, and standardization
- Execute mock migration runs, analyze errors, and fix issues
- Conduct final production data loads with validation and sign-off
- Generate reconciliation reports to ensure data accuracy and completeness
- Create a migration runbook (process, rollback, controls, schedules)
- Implement data quality checks, lineage tracking, and compliance artifacts
- Work with Salesforce teams on object relationships and load sequencing
- Optimize ETL performance and automate validation processes
Key Skills:
- Strong hands-on experience with IBM DataStage (ETL/ELT)
- Advanced SQL skills with performance tuning
- Expertise in data mapping, cleansing, deduplication, and validation
- Knowledge of data governance, lineage, and compliance
- Experience troubleshooting and optimizing ETL pipelines
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Job Title: Senior Data Engineer (DataStage ETL)
Location: Remote (Onshore)
Job Summary
We are looking for a Senior Data Engineer to lead end-to-end Salesforce data migration projects. The role involves moving data from Snowflake on-prem systems DataStage Salesforce, ensuring accuracy, quality, and compliance throughout the process.
You will collaborate with cross-functional teams including Salesforce admins, architects, and product owners to deliver scalable, automated, and auditable data migration solutions.
Key Responsibilities
- Design source-to-target mapping with transformation and validation rules
- Develop ETL workflows using IBM DataStage, SQL, and Python
- Perform data profiling, cleansing, and standardization
- Execute mock migration runs, analyze errors, and fix issues
- Conduct final production data loads with validation and sign-off
- Generate reconciliation reports to ensure data accuracy and completeness
- Create a migration runbook (process, rollback, controls, schedules)
- Implement data quality checks, lineage tracking, and compliance artifacts
- Work with Salesforce teams on object relationships and load sequencing
- Optimize ETL performance and automate validation processes
Critical Deliverables
- Source-to-target mapping documentation
- ETL workflows and scripts
- Validated data extraction files
- Data cleansing and validation rules
- Mock migration reports (minimum 3 runs)
- Final production data load with verification
- Post-migration reconciliation reports
- Complete migration runbook and documentation
Required Skills
- Strong hands-on experience with IBM DataStage (ETL/ELT)
- Advanced SQL skills with performance tuning
- Expertise in data mapping, cleansing, deduplication, and validation
- Knowledge of data governance, lineage, and compliance
- Experience troubleshooting and optimizing ETL pipelines
Nice-to-Have Skills
- Familiarity with Salesforce data model
- Experience with Salesforce Data Loader or similar tools
- Knowledge of Snowflake or cloud data warehouses
- Exposure to CI/CD pipelines for ETL deployment
- Proficiency in Python for automation
Qualifications
- Bachelor s degree in Computer Science, Information Systems, or equivalent
- 7+ years of data engineering experience
- 3+ years building production ETL pipelines
- Prior experience in Salesforce or CRM data migration projects (preferred)