Full Stack Analytics Engineer/ Data Engineer (Snowflake, Python, dbt, Tableau)
LocationMumbai, Maharashtra, India
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentJonali
Company size1,001–5,000 people
PostedAug 18, 2026 · 1mo ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
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
Skills
Snowflake
SQL
Python
dbt
Tableau
Responsibilities
•
Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt.
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Perform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sources.
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Develop complex and optimized SQL queries, stored procedures, views, and data models in Snowflake.
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Build and maintain dbt models, macros, tests, snapshots, and documentation following analytics engineering best practices.
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Use Python for data preprocessing, automation, data validation, and analytical workflows.
•
Develop and maintain Tableau dashboards, reports, visualizations, and KPI reporting for business stakeholders.
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Translate business requirements into effective data models, metrics, dashboards, and analytical solutions.
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Perform data profiling and quality checks to ensure accuracy, completeness, consistency, and reliability of reporting data.
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Optimize SQL queries, Snowflake workloads, dbt models, and Tableau dashboards for performance.
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Collaborate with Business Analysts, Data Engineers, Data Scientists, and business stakeholders to understand reporting and analytics requirements.
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Troubleshoot data and reporting issues and provide root-cause analysis.
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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.