Full Stack Analytics Engineer / Data Engineer (Snowflake, Python, dbt, Tableau)
Unison Group Open · verified Oct 24, 2026 On-site Mumbai Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Unison Group. Mumbai.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SeniorityMid-level
LocationMumbai
WorkplaceOn-site
PostedAug 18, 2026 · 2mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Snowflake pipelines that clean, validate and transform data from multiple sources
- Create Snowflake SQL models, views and procedures, then tune them alongside dbt transformations
- Use Python to automate data preparation, validation and analytical workflows
- Turn business reporting needs into data models, metrics and Tableau dashboards
- Investigate reporting problems, check data quality and document the logic behind transformations
What you bring
- At least six years in analytics engineering, data engineering, BI or a related role
- Hands-on Snowflake and advanced SQL skills, plus practical Python and dbt experience
- Experience building Tableau dashboards and reports across the data-to-reporting workflow
- Knowledge of ETL/ELT, dimensional modeling, data warehousing and data quality
Who this fits
This suits a mid-level data professional who can work directly with business stakeholders and collaborate with analysts, engineers and data scientists. The role is onsite in Mumbai.
From the employer
- 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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