Data Engineer

Responsibilities

• Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer. 
• Develop ELT transformations and data models using dbt following modular, testable, and governed practices. 
• Apply advanced data warehousing techniques, performance optimization, partitioning, clustering, and data modeling patterns. 
• Implement data governance, quality rules, lineage, and metadata workflows through Dataplex. 
• Develop production-ready code in Python/Java for orchestration, automation, and data processing. 
• Collaborate with analytics, product, and business teams (including HR/Workday domains) to define data requirements. 
• Ensure secure, reliable, and cost-optimized data pipelines aligned to best practices. 
• Support CI/CD, monitoring, troubleshooting, and continuous improvement of pipelines and dbt models. 

Experience: 4-8 Years
Location: Chennai 
Employment Type: Full-time 

Qualifications

• 4–8 years of experience in data engineering, data warehousing, or analytics engineering roles. 
• Strong expertise in SQL and advanced data warehousing topics (modelling, performance tuning, optimization). 
• Hands-on experience with GCP BigQuery, Dataflow, Cloud Composer, and Dataplex. 
• Practical experience developing transformations and models in dbt. 
• Proficiency in Python or Java for data processing and automation. 
• Exposure to Snowflake or Databricks (good to have). 
• Understanding of Workday data structures and HR/People Analytics concepts (good to have). 
  • Strong problem-solving skills, communication, and ability to collaborate with cross-functional teams.