Job Title : Data Modeler (2-5 Years Experience)
Location : Hybrid Pune / Bangalore / Hyderabad Hybrid (3 days onsite per week)
Office locations : Pune, Bangalore, Hyderabad
Tentative Start Date : Immediate
Working Hours : 10 : 00 AM 07 : 00 PM IST
Client Assets / System Access : Provided by Client
Job Overview :
We are seeking an experienced Data Modeler with 25 years of hands-on expertise in data modeling and advanced analytics platforms such as Azure Databricks. You will collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to deliver scalable and performant data solutions. The ideal candidate will thrive in a hybrid work setup and bring a deep understanding of data structures and modeling best practices.
Key Responsibilities :
- Design conceptual, logical, and physical data models aligned with business objectives.
- Collaborate with data architects, analysts, and business teams to translate functional requirements into scalable data solutions.
- Optimize data models for performance, data quality, and cross-platform integration.
- Support metadata management, data lineage, and ensure consistency in data assets.
- Contribute to Agile, DevOps, and DataOps workflows within the data ecosystem.
- Maintain and document data model standards and best practices.
- Integrate models across various domains like Sales, Finance, Supplier, and Customer datasets.
Required Skills :
2+ years of experience in data modeling across enterprise data systems.Expertise in Azure Databricks and SQL.Proficiency in data modeling tools (e.g., Erwin, ER / Studio, IDM, or ARDM).Familiarity with MPP data warehouse technologies (Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake).Strong understanding of version control systems (e.g., GitHub) and CI / CD pipelines.Knowledge of metadata, data lineage, and glossary management.Preferred Skills :
Experience with SAP HANA and S / 4HANA data structures.Exposure to CPG (Consumer Packaged Goods) domain, including retail data like IRI, Nielsen.Knowledge of cloud-based data warehouses and data lakehouse architectures.Soft Skills :
Excellent communication and documentation skills.Proactive in stakeholder engagement and problem-solving.Team player with strong collaboration skills in hybrid work settings.(ref : hirist.tech)