Description

Key Skills: Data architecture, Snowflake, Power BI, ETL, DBT, Data Warehousing, Medallion Architecture, Data quality, Data Governance, SQL

Roles and Responsibilities:

• Lead the design and implementation of scalable data architecture and engineering solutions using Snowflake, DBT and SQL.
• Establish data integration and transformation patterns for ERP, POS, CRM, vendor and third-party data sources.
• Design trusted data structures and analytical models supporting retail use cases such as inventory, sales, pricing, promotions and omnichannel customer analytics.
• Partner with business and technology stakeholders to translate analytical requirements into maintainable data products and reporting solutions.
• Lead and mentor data engineers and analysts while setting standards for data modeling, transformation, documentation and delivery quality.

Skills Required:

• 10 - 14 years of experience in data engineering, data architecture or business intelligence, including leadership responsibility.
• Strong hands-on experience with Snowflake, DBT, SQL and ETL or ELT development.
• Expertise in data architecture, data warehousing, dimensional modeling and scalable cloud data platforms.
• Experience developing business intelligence solutions and semantic reporting models using Power BI.
• Ability to design reliable data pipelines, optimize warehouse workloads and support secure, high-volume analytical environments.

Good to Have:

• Experience with data governance and data quality practices in enterprise data environments.

Education: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related discipline; B.Tech, M.Tech or dual-degree qualifications are acceptable

Key Skills

Education

Any Graduate