Quess
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Hyderabad · On-site · 5-8 Yrs · 5 days ago
HR Consulting · 10000+ Employees · Bengaluru, India
Quess Corp Limited (BSE: 539978, NSE: QUESS), is India’s leading integrated business services provider. At Quess, we excel in helping large and emerging companies manage their non-core activities by leveraging our integrated service offerings across industries and geographies which provides significant operational efficiencies to our clients. Quess has a team of over ~261,700 employees across India, North America, South America, South East Asia and the Middle East across segments such as Industrials, Facility Management, People Services, Technology Solutions and Internet Business. Quess serves over 1,700+ clients worldwide. Established in 2007, Quess is headquartered in Bengaluru, India and has a market cap of over USD 2.3 Bn as on March 31, 2018. For further details on Quess Corp Ltd., please visit: http://www.quesscorp.com.
Hiring: Human resources
What employees say
+ Good but it's contract client projects
− They won't mention it's a contract until you will join
More reviews on the company profile.
Interview experience · FICC Analyst
Questions were about derivatives instruments and resume based. Mostly they focus on your communication and test your presence of mind. Critical thinking, analytical skills.be thorough with what you have written in resume
Average difficulty · Bengaluru · 180 reports
More interview insightsJob description
Overview
Level: Consultant | Experience: 6+ years
Responsibilities
- Job Description: Consultant – Data Modeler (Databricks / Cloud, Finance Domain)
- Level: Consultant | Experience: 6+ years
- Role Summary
- We are looking for a Data Modeler with 5–6 years of experience to support the design and delivery of finance data models on a cloud lakehouse platform. You will contribute to conceptual, logical, and physical modeling, curated layer definition, and semantic views on Databricks, governed through Unity Catalog or a standard catalog. You will work with Finance SMEs and the Technology team under the guidance of senior team members, owning well-defined modeling workstreams.
- Support design of conceptual and logical data models for Revenue, Expense, Sourcing, and Other Finance domains based on Stakeholder requirements.
- Define and update fact, dimension, bridge, and aggregate tables using dimensional (Kimball) modeling, including SCDs, conformed dimensions, surrogate keys, and grain definition.
- Define and refine semantic views and business metrics/KPIs (e.g., revenue, margin, spend, variance) using Databricks SQL views, metric views, or BI semantic layers.
- Collaborate with Data Engineering to translate logical models into physical tables and views and support curated layer definition within the Medallion Architecture (Bronze/Silver/Gold).
- Organize data assets in Unity Catalog (catalog → schema → table/view) or a standard catalog; maintain descriptions, tags, and sensitivity classifications.
- Create and maintain ERDs, data dictionaries, source-to-target mappings (STTM), and model documentation, with traceability from requirements to physical models.
- Validate physical implementations against approved models and flag gaps.
- Participate in agile ceremonies, communicate progress and risks, and support junior team members through reviews and knowledge sharing.
Qualifications
- 5–6 years in data modeling, data warehousing, or data engineering, with 1.5–2+ years on a cloud data platform, preferably Databricks.
- Strong hands-on dimensional modeling and solid understanding of conceptual, logical, and physical modeling.
- Working knowledge of Databricks (Delta Lake, Databricks SQL, Medallion Architecture) and Unity Catalog and/or Hive metastore.
- Exposure to semantic modeling (semantic views, metric definitions, BI semantic layers).
- Strong SQL skills (joins, window functions, CTEs); basic PySpark/Python is a plus.
- Familiarity with STTM, lineage, metadata management, and data quality/reconciliation practices.
- Clear communication, strong documentation habits, and the ability to work independently with moderate guidance in an agile team.
- Prior experience working on Finance domain data (e.g., GL, revenue, AP/AR, procurement)
- Experience with a data modeling tool such as ERwin, ER/Studio, PowerDesigner, SQLDBM, or Lucid chart
- Exposure to ERP systems
- Databricks/cloud certifications
- Experience with Power BI/Tableau
- Conceptual and logical data models for assigned domain(s)
- Fact/dimension schemas and semantic view specifications
- Physical model and curated layer design inputs
- Data dictionaries, STTM, and model documentation
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Job application FAQ
Last updated 4 November 2026
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- Is Data Modeler-Databricks remote or on-site in Hyderabad, Telangana?
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- What skills matter for this Data Modeler-Databricks role at Quess?
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