Data Modeler

Description

Position at Ness Digital Engineering (India) Private Limited

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

Data Modeler (Finance & Capital Markets)

(2-3 days onsite a week)

Position Overview:

We are looking for a Data Modeler with strong expertise in designing, optimizing, and maintaining conceptual, logical, and physical data models for financial data. The candidate will work closely with data architects, engineers, and business stakeholders to ensure data integrity, performance, and alignment with domain-specific needs in Capital Markets.

Key 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.

Required Skills & Experience:

• 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.

Preferred:

• 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.

Why Ness

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. At Ness, we treat our values of rigor, innovation, and partnership with the highest priority, and they are placed at the very core of our business — to guide us through our daily operations and interactions with our customers.

We offer our employees exciting and challenging projects across a diverse range of industries, as well as the opportunity to collaborate with a group of forward-thinking, capable partners around the globe.

Discover Ness Digital Engineering by visiting our website www.ness.com

Salary Range: 130K - 150K

• Salary will purely depend on experience, skill fitment and other factors.