About this role
This role provides technical leadership across cloud-based data engineering, builds scalable ELT pipelines, and facilitates Agile ceremonies. The focus is on enabling high-quality data models, orchestration workflows, and platform reliability.
Responsibilities
• Design and optimize Snowflake data models and ELT workflows • Build SQL/Python transformations and dbt models (staging, marts, tests) • Develop scalable ingestion pipelines using S3, Snowpipe, Fivetran • Build and manage workflows through Fivetran and Analysis Server(both good to have) • Facilitate sprint ceremonies and manage delivery timelines • Mentor junior engineers and uphold engineering best practices
Qualifications
• 6–10 years in data engineering • Advanced SQL & Python • Strong experience with Snowflake • Hands‑on proficiency with dbt • Experience with AWS S3 • Experience with Fivetran, Snowpipe(both optional/good to have) • Exposure to Databricks/Spark and/or Analysis Server(SSIS) • Agile/Scrum leadership experience preferred • Strong experience with Azure Devops, GitHub/GitLab and Git‑based workflows • Hands‑on exposure to CI/CD pipelines and DevOps‑aligned engineering practices