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Salary
$41k – $87k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Apex Group is a global financial services provider headquartered in Hamilton, Bermuda, and founded in 2003. The company offers a broad range of solutions including fund administration, corporate services, depositary, custody, digital banking, and ESG advisory services to asset managers and institutional investors. It operates through a network of over 90 offices in more than 50 countries, managing trillions of dollars in assets for a diverse client base across the private equity, real estate, and hedge fund sectors.

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.

Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

The Informatica Developer is a hands-on technical role within the Office of the Chief AI & Data Officer (CDAO), responsible for designing, developing, and maintaining enterprise data integration, data quality, and metadata solutions using the Informatica platform.

This role plays a critical part in enabling trusted data and AI systems by building scalable, reliable, and automated data pipelines, data quality rules, and metadata integrations across cloud and on-premise environments.

The role works closely with:

  • Operational Data Quality Lead
  • Data Quality Analysts
  • Data & AI Stewardship Lead
  • Data Engineering and Platform teams

This is a delivery-focused engineering role requiring deep technical expertise in Informatica IDMC / PowerCenter / IDQ / EDC, combined with strong problem-solving and collaboration skills.

Key Responsibilities

1. Data Quality Implementation

  • Develop and maintain data quality rules and checks using:
    • Informatica Data Quality (IDQ / IDMC DQ)
  • Implement:
    • Validation rules
    • Standardization and cleansing logic
    • Matching and deduplication
  • Support the Operational DQ Lead in:
    • Automating DQ monitoring
    • Enabling DQ dashboards
    • Integrating DQ outputs with reporting tools

2. Metadata & Catalog Integration

  • Configure Data and AI Catalog
  • Integrate data assets into:
    • Informatica Data Catalog (EDC / IDMC Catalog)
  • Enable:
    • Automated metadata harvesting
    • End-to-end lineage generation
    • Technical metadata synchronization
  • Support Data & AI Stewards with:
    • Catalog onboarding
    • Metadata completeness
    • Lineage accuracy

4. Platform Engineering & Automation

  • Build reusable components and frameworks on the Informatica platform.
  • Automate:
    • Job orchestration
    • Monitoring and alerting
    • Deployment pipelines
  • Ensure platform reliability through:
    • Error handling
    • Logging
    • Performance tuning

Required Skills & Experience

Technical Skills (Strong Requirement)

  • 5-7 years of hands-on experience with Informatica:
    • IDMC
    • PowerCenter
    • Informatica Data Quality (IDQ)
    • Informatica Data Catalog (EDC)
  • Strong SQL skills (Oracle, SQL Server, Snowflake, etc.)
  • Experience with:
    • REST APIs
    • Cloud data platforms (AWS, Azure, GCP)
    • CI/CD pipelines for data (nice to have)

Data Engineering & Architecture

  • Strong understanding of:
    • ETL/ELT patterns
    • Data lakes and data warehouses
    • Data modeling (dimensional, normalized)
    • Batch vs streaming architectures

Problem Solving & Operating Style

  • Strong debugging and root cause analysis skills
  • Ability to design for scalability and performance
  • Comfortable working in a fast-paced, delivery-oriented environment
  • Strong documentation and knowledge-sharing mindset

Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

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