Data Integration Engineer (Senior Associate)
Grant Thornton (company site, opens in a new tab)5–6 yrsKolkataRemoteDirect career pageEst. 12–20 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain curated, analytics-ready gold-layer datasets and semantic models for trusted reporting and self-service consumption.
- Build modular data transformations (dbt), optimize dimensional models (star/snowflake schemas), and develop semantic models and certified datasets using Snowflake and Power BI.
- Conduct data profiling, validation, data lineage, and implement data quality checks to ensure high accuracy and governance of analytics pipelines.
Minimum Requirements
- 5+ years experience in analytics engineering, BI/data warehouse development, or related data roles in enterprise data environments.
- Strong hands-on experience with Snowflake including advanced SQL, dbt, performance tuning, and governance features.
- Proficiency in dbt for ELT/ETL development and Power BI for semantic modeling and reporting.
- Bachelor's degree in Computer Science, Information Systems, Analytics, or related field (or equivalent experience).
Ideal Candidate Profile
- Experienced in enterprise-scale data platform development with a focus on Medallion Architecture and dimensional modeling.
- Skilled in bridging data engineering and analytics through modular transformations and certified semantic layers.
- Comfortable working closely with business stakeholders and cross-functional teams to translate requirements into governed, performant data products.