Snowflake Developer

Industry & Sector : Cloud Data Engineering and Enterprise Analytics — building scalable data warehouses, ELT pipelines and analytics platforms for enterprise customers across finance, retail, and technology. The team delivers production-grade data products that power BI, reporting, and advanced analytics.

Primary title : Snowflake Data Engineer (Snowflake Developer). Location : India — On-site.

Role & Responsibilities

• Design and implement scalable ELT pipelines on Snowflake to ingest, transform, and curate enterprise data for analytics and reporting.
• Develop robust SQL and Python-based routines for data transformation, orchestration and automation using dbt and Airflow.
• Implement Snowflake features (Snowpipe, Streams, Tasks, Time Travel, Cloning) to enable real-time / near-real-time ingestion and CDC patterns.
• Optimize Snowflake performance and cost through clustering keys, partitioning, query profiling and resource monitor strategies.
• Collaborate with data engineers, analytics and product teams to translate business requirements into data models, schemas and pipeline SLAs.
• Establish CI / CD, version control and observability for data pipelines including testing, deployment pipelines and monitoring alerts.

Skills & Qualifications

Must-Have

Preferred

Qualifications

Benefits & Culture Highlights

To apply, please highlight your Snowflake implementations, performance optimizations, and any dbt or Airflow projects in your CV. This role is best suited for hands-on engineers who enjoy ownership of end-to-end data pipelines and drive measurable improvements in platform performance and cost.

Skills : python,dbt,git,sql,aws,snowflake

Skills Required

Apache Airflow, Git, Terraform, snowflake , dbt, Snowpipe, Python, Sql, Aws