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Unison Group Linkedin · Posted 27d ago

Full Stack Analytics Engineer/ Data Engineer (Snowflake, Python, dbt, Tableau)

Mumbai

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Indexed description

  • 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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