Data Engineer (investment Management)

InvestM Technology LLC; Hyderabad; Hybrid; INR 1,500,000 - 1,900,000; Full time

Benefits offered by this job

Hybrid Schedule (3 days in office)

Job summary

InvestM Technology LLC in Hyderabad, India, invites a data engineering/BI professional to lead performance analytics, investor reporting, and reporting automation for diverse investment strategies. The role emphasizes dashboards, datasets, and recurring deliverables with a strong emphasis on data controls.

Applicants should have 5+ years in data engineering or analytics, deep SQL/Python expertise, and experience with Power BI and cloud platforms.

Qualifications

• 5+ years in data engineering, BI development, reporting automation, or analytics engineering.
• Experience with investment reporting and performance measures is a plus.
• Strong SQL, Python, Power BI, DAX, and data validation skills.
• Familiarity with cloud data platforms like Microsoft Fabric/Azure and AWS.

Responsibilities

• Lead build, automation, refresh, and controls for dashboards, datasets, and recurring reporting.
• Deliver performance analytics, investor reporting, and reporting automation for multiple strategies.
• Translate reporting and data-control requirements into scalable technical solutions.

Skills

SQL

Python

Power BI

DAX

Power Query/M

Semantic models

Paginated reports

Production data validation

Microsoft Fabric/Azure

AWS

Education

Bachelor’s or Master’s degree in Computer Science / Data Science / Engineering / Finance or related field

Job description

Location: Hyderabad, India (Hybrid Schedule; 3 days in office)

Working Hours: 2 PM to 11 PM IST

Assignment Duration: 12 months

The Opportunity

Client’s Risk & Reporting (R&R) team is building performance analytics, investor reporting, and reporting automation across closed-end, open-end, and evergreen strategies. In this role, you will lead the build, automation, refresh support, and controls for Emerging Markets Debt dashboards, datasets, and recurring reporting deliverables.

Experience Required

• 5+ years in data engineering, BI development, reporting automation, or analytics engineering; financial services experience preferred.
• Strong hands-on skills in SQL, Python, Power BI, DAX, Power Query/M, semantic models, paginated reports, and production data validation.
• Working knowledge of Microsoft Fabric/Azure and/or AWS cloud data platforms.
• Familiarity with investment performance measures such as TWR, MWR, IRR, MOIC, TVPI, DPI, and RVPI, as well as exposure, attribution, benchmarks, and investor reporting.
• Strong communication skills and the ability to turn reporting and data-control requirements into technical solutions.

Education

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Finance, Accounting, or a related analytical field; equivalent deep experience building data and BI solutions in investment management may also qualify.