Description

You will design and implement large-scale shared data solutions within a complex financial services environment.

Responsibilities

• Architect relational and dimensional data models, including metadata build and management.
• Design and implement ETL and API-based data provisioning patterns for real-time, batch, and event-based workflows.
• Lead code reviews and independently architect solutions to ensure quality throughout the project lifecycle.
• Execute data quality measurements, scorecards, and reconciliation techniques.
• Collaborate within Agile teams to deliver data solutions across domains like Finance, Compliance, and Risk.

Required Skills

• 3+ years of experience in data architecture within complex environments.
• 3-5 years of experience in relational and dimensional data modeling.
• Expertise in SQL and Python for data analysis and profiling.
• Hands-on experience with relational and NoSQL database systems.
• Proficiency with Informatica, Hadoop, Spark, Oracle, and Exadata.
• Strong experience with Business Intelligence tools including Tableau and MicroStrategy.
• Knowledge of Data Governance processes, including metadata, lineage, and data dictionaries.
• Experience with large-scale data analysis using Excel and presentation tools like Vision and PowerPoint.
• Domain knowledge in financial services (Finance, Regulatory Reporting, or Risk).

Preferred Skills

• Experience with Data Quality remediation and control.
• Familiarity with Agile SDLC tools.

Key Skills

Education

Any Graduate