ETL Developer - Senior
Listed on 2026-07-01
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IT/Tech
Data Engineering, Data Warehousing
Job Title
At least 8 years’ experience developing enterprise class data pipelines using Informatica Power Center, MS SQL Server, Control M. Hands on development experience in building and designing Informatica ETL pipelines for Enterprise Data Warehouses, Data Marts, and Operational data stores (ODS) with a strong understanding of Data Warehousing and Data Modeling concepts. Experience writing complex SQL queries, SQL Tuning and knowledge of database design and development (SQL and TSQL)
Within the context of building ETL pipelines, the candidate needs hands-on experience on all aspects of data handling: cleansing and standardization, data transformations, merging, change data capture, and reconciliation. At least 3 years of experience working in Agile - Scrum teams Experience of Bit-Bucket and CICD pipeline Proven record of delivering technology solutions within agreed upon time frames Prior experience working in the investment management industry is a plus
A university degree from a well-respected academic institution; other professional certifications are a plus A commitment to high ethical standards and integrity, demonstrated through action High-energy, positive, entrepreneurial in spirit Goal-oriented and results-driven Self-starter, takes initiative and can work independently Well-organized and disciplined with high attention to detail Skilled communicator with exceptional written, verbal, presentation, and facilitation skills
Advanced SQL Server Expert Level Informatica Power Center 10x Control M Bit Bucket A university degree from a well-respected academic institution; advanced degrees in Information management, Computer Science, and/or other professional certifications are a plus. At least 7 years of hands on experience in design and development of enterprise class data pipelines using tools like Informatica Power Center, SQL Server, Control M.
Strong knowledge of ETL pipeline design, Data Warehousing, Data Marts, and Operational data stores (ODS).
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