Über
Design detailed source‑to‑target mappings, including transformations, deduplication logic, and validation rules Build, optimize, and maintain IBM DataStage ETL workflows using SQL and Python to load data into Salesforce Execute mock and production migration runs, troubleshoot issues, and implement remediation strategies Produce reconciliation reports, migration runbooks, and audit‑ready documentation Partner with cross‑functional teams to ensure data governance and compliance standards are met The Ideal Candidate
7+ years of data engineering experience, including 3+ years building production ETL pipelines Hands‑on experience with IBM DataStage in enterprise data environments Strong SQL skills with proven experience tuning performance on large datasets Solid background in data mapping, cleansing, deduplication, and validation Working knowledge of data governance, lineage, data quality controls, and compliance requirements Experience troubleshooting, optimizing, and automating ETL workflows Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience Why This Role
Opportunity to lead high‑impact Salesforce data migrations at enterprise scale Fully remote, onshore contract with strong ownership and visibility Work with modern data platforms including Snowflake, IBM DataStage, and Salesforce Collaborative environment with close partnership across engineering, architecture, and business teams
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Sprachkenntnisse
- English
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