Data Engineer

Role & responsibilities

The Minimum Qualifications

Education: Bachelors or Master’s degree in Computer Science, Information Systems or related field.

Experience:

• 7-9 years of experience with data analytics, data modeling, 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.
• Informatica and Strong Python skillsets. Domain knowledge: Experience in Investment domain,

Market Risk/Credit Risk experience and knowledge of Front office/Portfolio Managers/Investment

Managers functions.

• 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.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Exceptional communication and interpersonal skills.
• Ability to influence and motivate teams without direct authority.
• Excellent time management and organizational skills, with the ability to prioritize multiple initiatives.