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Full Stack Analytics Engineer Data Engineer
About the role
This role within the analytics engineering function in Mumbai, Maharashtra, India, focuses on designing, developing, and maintaining scalable data transformation and analytics pipelines. Day-to-day work includes building Snowflake data models, dbt transformations, Python automation, and Tableau dashboards while translating business requirements into metrics and ensuring data quality. The position is on-site and requires 6+ years of overall experience in analytics engineering, data engineering, BI, or a related role.
What you’ll do
- 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
What you’ll bring
- 6+ years of overall experience in Analytics Engineering, Data Engineering, BI, or a related role
- Proficiency in Snowflake, SQL, Python, dbt, and Tableau
- Experience with ETL/ELT and dimensional modeling
- Experience with data warehousing concepts
- Ability to design and maintain scalable data transformation and analytics pipelines
- Ability to develop complex and optimized SQL queries, stored procedures, views, and data models
- Ability to build and maintain dbt models, macros, tests, snapshots, and documentation
- Ability to develop and maintain Tableau dashboards, reports, visualizations, and KPI reporting