Role: Data Engineer Investment Domain
Skills: Informatica, DWH, Strong Sql, Python
Domain: Investment / Capital Market Domain experience of minimum 3-4 years(Experience in Investment domain, Market Risk/Credit Risk experience and knowledge of Front office/Portfolio Managers/Investment Managers functions & working with systems supporting various investment functions and asset types)
Experience: 6-15 Years
The Minimum Qualifications
Experience:
- 7-9 years of experience with data analytics, data modelling, and database design.
- 3+ years of coding and scripting (Python, Java, Scala) and design experience.
- 3+ years of experience with Spark framework.
- 5+ Experience with ELT methodologies and tools.
- 5+ years mastery in designing, developing, tuning and troubleshooting SQL.
- Knowledge of Informatica Power center and Informatica IDMC.
- Knowledge of distributed, column- orientated technology to create high-performant database technologies like - Vertica, Snowflake.
- Strong data analysis skills for extracting insights from financial data
- Proficiency in reporting tools (e.g., Power BI, Tableau).
The Ideal Qualifications
Technical Skills:
- Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, and Pricing.
- Familiarity with regulatory requirements and compliance standards in the investment management industry.
- Experience with IBOR's such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart.
- Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.
