Data Engineer at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Oct, 26

Salary

2500000.0

Posted On

11 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, SQL, Power BI, ETL/ELT, Data Modeling, Data Warehousing, Query Optimization, Business Intelligence, Data Integration, Dimensional Modeling, Data Governance, Agile

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 2500000 (ie INR 20-25 LPA) Experience: 5+ yrs Location: Bengaluru, Hyderabad, Chennai Job Type: Full-Time We are looking for an experienced Data Engineer with strong expertise in Snowflake, SQL, and Power BI to design, develop, and optimize scalable data solutions that enable reliable reporting, analytics, and business intelligence. The ideal candidate will have hands-on experience building modern data platforms, developing robust ETL/ELT pipelines, and transforming complex datasets into meaningful business insights through interactive dashboards and reporting solutions. In this role, you will collaborate closely with business stakeholders, analysts, data architects, and cross-functional engineering teams to develop high-quality data pipelines, implement efficient data models, and ensure data accuracy across enterprise systems. This opportunity is ideal for professionals who enjoy solving complex data challenges, improving platform performance, and delivering scalable cloud-based data solutions that support data-driven decision-making. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines to integrate data from multiple sources into Snowflake. Build, optimize, and maintain enterprise data warehouse solutions using Snowflake and SQL. Develop complex SQL queries, views, stored procedures, and data transformation logic to support analytics and reporting. Create interactive Power BI dashboards and reports that provide meaningful business insights and support strategic decision-making. Design and implement efficient data models to improve reporting performance and usability. Optimize Snowflake performance through query tuning, warehouse optimization, and efficient data storage strategies. Ensure data quality, integrity, and consistency through validation, reconciliation, and monitoring processes. Collaborate with business users to understand reporting requirements and translate them into scalable technical solutions. Develop reusable data assets, semantic models, and reporting datasets for enterprise-wide analytics. Troubleshoot and resolve data pipeline failures, reporting issues, and performance bottlenecks. Maintain technical documentation for data architecture, pipelines, reporting solutions, and operational procedures. Support continuous improvement initiatives by identifying opportunities for automation, process optimization, and enhanced reporting capabilities. Ensure compliance with data governance, security standards, and best practices across all data engineering activities. What Makes You a Great Fit 5+ years of experience in Data Engineering, Data Warehousing, or Business Intelligence development. Strong hands-on expertise in Snowflake, including data modeling, query optimization, and warehouse management. Advanced proficiency in SQL with experience writing and optimizing complex queries for large datasets. Strong experience developing interactive dashboards and analytical reports using Power BI. Solid understanding of ETL/ELT concepts, data integration, and cloud-based data platforms. Experience designing dimensional data models and supporting enterprise reporting solutions. Strong analytical and problem-solving skills with excellent attention to detail. Knowledge of data quality, governance, validation, and performance optimization techniques. Excellent communication and stakeholder management skills with the ability to translate business requirements into technical solutions. Experience working in Agile environments with a collaborative and continuous improvement mindset. Self-motivated professional capable of managing multiple priorities while delivering high-quality, scalable data solutions.

Responsibilities

Design and maintain scalable ETL/ELT pipelines and enterprise data warehouse solutions using Snowflake and SQL. Develop interactive Power BI dashboards to provide business insights and optimize platform performance through query tuning.