Data Modeler

Ness Digital Engineering (India) Private Limited

86d • $130,000 - $150,000

About The Position

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com. We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun. We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results.

Requirements

• Hands-on experience in data modeling tools (Erwin, ER/Studio, PowerDesigner, or similar).
• Strong knowledge of relational, dimensional, and lakehouse modeling techniques.
• Experience with Parquet, Iceberg, and cloud-native data storage formats.
• Strong understanding of Finance & Capital Markets data structures (trades, positions, risk, reference/master data).
• 5–8 years of relevant data modeling experience.

Nice To Haves

• Exposure to AWS data services, Databricks, Snowflake, DBT.
• Knowledge of data governance, data lineage, and regulatory compliance.
• Familiarity with Agile delivery model and working with Scrum teams.

Responsibilities

• Design and maintain conceptual, logical, and physical data models supporting trading, risk, and compliance functions.
• Work with Medallion Architecture (Bronze/Silver/Gold layers) to align data models with cloud lakehouse design.
• Collaborate with Data Architects and Engineers to translate models into efficient schemas for AWS, Spark, Parquet, Iceberg.
• Model time-series, reference data, market data, and transactional flows specific to Finance & Capital Markets.
• Define data standards, naming conventions, and metadata management practices.
• Optimize data models for performance, scalability, and regulatory reporting needs.
• Partner with business stakeholders to capture requirements and ensure semantic consistency across domains.

Benefits

• Exciting and challenging projects across a diverse range of industries.
• Opportunity to collaborate with a group of forward-thinking, capable partners around the globe.
• Professional growth and career progression opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees