Skills

Must have

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.

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.

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.

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

Compensation

Not disclosed

Location

Mumbai, Maharashtra, India

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

6+ years

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.

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.

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.