Unison Group
Website:
unisonindia.com
Company:
https://www.linkedin.com/company/unison-group-sg
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
- Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt
- Perform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sources
- Develop complex and optimized SQL queries, stored procedures, views, and data models in Snowflake
- Build and maintain dbt models, macros, tests, snapshots, and documentation following analytics engineering best practices
- Use Python for data preprocessing, automation, data validation, and analytical workflows
- Develop and maintain Tableau dashboards, reports, visualizations, and KPI reporting for business stakeholders
- Translate business requirements into effective data models, metrics, dashboards, and analytical solutions
- Perform data profiling and quality checks to ensure accuracy, completeness, consistency, and reliability of reporting data
- Optimize SQL queries, Snowflake workloads, dbt models, and Tableau dashboards for performance
- Collaborate with Business Analysts, Data Engineers, Data Scientists, and business stakeholders to understand reporting and analytics requirements
- Troubleshoot data and reporting issues and provide root-cause analysis
- Establish reusable data transformation and reporting frameworks to improve scalability and maintainability
- Ensure proper documentation of data sources, transformations, business rules, and reporting logic
Requirements
- 6+ years of overall experience in Analytics Engineering, Data Engineering, BI, or a related role
- Strong hands-on experience with Snowflake and advanced SQL
- Strong Python experience for data preprocessing, transformation, automation, and validation
- Hands-on experience with dbt for data transformation and analytics engineering
- Strong experience in Tableau dashboard and report development
- Experience working across data preprocessing → transformation → data modeling → BI reporting
- Strong understanding of ETL/ELT concepts, dimensional modeling, and data warehousing
- Good understanding of data quality, governance, and performance optimization
- Strong analytical and problem-solving skills with the ability to work directly with business stakeholders
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