Data Modeler - Senior

data quality and recommend solutions for identified issues.

• Identify patterns, trends, and anomalies in datasets; apply statistical process controls to ensure data reliability.

• Create complex reports and dashboards using advanced business intelligence tools and technologies.

• Develop data profiles for data lake tables and elements; assess data quality, coherence, and integrability across systems.

• Create, evaluate, and maintain data catalog entries; ensure metadata quality and guide product and development teams using catalog insights.

• Analyze complex datasets from multiple sources to reduce redundancy and resolve data lifecycle issues.

• Collaborate on defining and implementing data cleansing rules, standards, and governance solutions.

• Assist in creating and maintaining documentation for key decisions, rules, controls, processes, and training materials.

• Define and integrate new tools, methods, and technologies into data analysis and modeling processes.

• Coach, mentor, and review the work of less experienced team members, providing technical guidance and problem resolution support.

Core Technical Skills

• Data Modeling: Strong expertise in dimensional modeling, 3NF, and enterprise schema design.

• ETL/ELT & Data Engineering: Hands-on experience with modern data engineering tools and pipeline development.

• Big Data & Cloud Platforms: Exposure to open-source Big Data technologies and cloud-based clustered compute implementations.

• Data Profiling & Cataloging: Proficiency with data profiling tools, metadata management, and data catalog platforms (e.g., Azure Purview, Alation).

• Business Intelligence: Advanced experience with BI tools for reporting, dashboards, and data visualization.

• Platforms: Experience working with Snowflake, Databricks, and other modern cloud data platforms.

• AI/ML: Understanding of AI/ML concepts and frameworks, particularly their application in data quality and process optimization.

• Programming: Strong SQL coding skills with exposure to open-source Big Data technologies; experience with SQL and NoSQL querying.

Preferred / Nice-to-Have Skills

• Experience with graph data modeling and graph databases (e.g., Neo4j, TigerGraph).

• Familiarity with Palantir Ontology.

• Exposure to IoT data and related technologies.

RESPONSIBILITIES

Experience

• 5-8 years of hands-on experience in data analysis, data modeling, data engineering, or a related field.

• Proven expertise in designing and implementing scalable, optimized data models and data architectures.

• Solid experience with SQL and NoSQL querying across multiple platforms.

• Exposure to Agile software development methodologies.

• Intermediate experience with:

• Data profiling tools and technologies

• Data catalog tools and metadata management

• Business intelligence tools and technologies

• Big Data open-source technologies

• Cloud-based clustered compute implementations

• Work Timings: 12:00 PM - 9:00 PM IST (overlap with US EST hours)

Key Competencies

• Data Literacy: Clearly expresses data context, sources, analytical methods, and resulting business value.

• Data Profiling: Assesses data quality issues and defines cleansing, extraction, and validation requirements.

• Data Communication & Visualization: Effectively communicates business problems, root causes, and solutions through reports and dashboards.

• Data Quality: Identifies and corrects data flaws to support effective information governance and decision-making.

• Data Analytics: Discovers, interprets, and communicates insights using statistical, analytical, and problem-solving techniques.

• Project Management: Balances scope, schedule, and resources to deliver data initiatives effectively.

• Communication: Delivers clear, audience-appropriate messaging across multiple modes.

• Customer Focus: Builds strong stakeholder relationships and delivers customer-centric solutions.

• Tech Savvy: Anticipates and adopts innovative digital and technology solutions.

• Stakeholder Management: Balances and aligns the needs of multiple stakeholders.

• Action Oriented: Demonstrates urgency, energy, and accountability in taking on challenges.

• Manages Ambiguity: Operates effectively in uncertain or evolving environments.

QUALIFICATIONS

Qualifications

• Bachelor's degree or equivalent in Computer Science, Data Science, Information Systems, or a related technical discipline (or equivalent practical experience).

• This position may require licensing or compliance with export controls or sanctions regulations.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category On-site with Flexibility

Job Type Exempt - Experienced

ReqID 2423451

Relocation Package No

100% On-Site No