What We Offer: 

• Canteen Subsidy
• Night Shift allowance as per process
• Health Insurance
• Tuition Reimbursement
• Work-Life Balance Initiatives
• Rewards & Recognition

Role Overview: We are seeking an experienced Data Engineer with strong expertise in Google BigQuery, Dataform, and modern data pipelines. The ideal candidate will design, develop, and maintain scalable data models, ETL/ELT processes, and analytics-ready datasets to support our reporting, analytics, and business intelligence use cases. 

Key Responsibilities 

• Data Engineering & Pipeline Development 
• Design and build scalable, high-performance ELT pipelines using Dataform on BigQuery. 
• Develop and optimize SQLX models, incremental pipelines, and data transformations. 
• Implement data quality checks, assertions, and validation frameworks within Dataform. 
• Manage pipeline orchestration, scheduling, CI/CD, and environment configurations. 
• Build and maintain dimensional models (Star/Snowflake schema) for analytics and reporting. 

BigQuery Development & Optimization 

• Create, optimize, and maintain BigQuery datasets, tables, views, partitions, clusters, and materialized views.    
• Optimize query performance, reduce cost, and manage slot utilization. 
• Implement best practices for data governance, security, and access control.    
• Work with large-scale datasets and ensure efficient processing. 

Monitoring & Maintenance 

• Monitor pipeline performance, identify bottlenecks, and resolve issues proactively. 
• Ensure high data availability, reliability, and accuracy across systems. 

Required Skills & Qualifications 

Technical Skills 

• 5+ years of experience as a Data Engineer or similar role. 
• Strong hands-on expertise with Google BigQuery (mandatory). 
• Deep knowledge of Dataform (or DBT experience, with Dataform adoption). 
• Proficiency in SQL (advanced-level query optimization, analytics functions, modeling). 
• Experience with ELT/ETL architecture, data modeling (Star, Snowflake). 
• Hands-on with GCP services like Cloud Storage, Cloud Composer, IAM, Cloud Functions (good to have). 
• Experience building incremental data pipelines and managing dependencies. 
• Familiarity with Git, CI/CD workflows, and version-controlled development. 
• Good understanding of data warehousing concepts and best practices. 

Soft Skills 

• Strong analytical & problem solving skills. 
• Ability to manage multiple tasks in an agile environment. 
• Excellent communication and documentation skills. 
• Self-driven and able to work with minimal supervision.