Description

Lead the design, development, and optimization of scalable Snowflake data models and pipelines.

This role is remote.

Responsibilities

• Design and maintain Azure Data Factory (ADF) pipelines for data ingestion and workflow orchestration.
• Build efficient ELT/ETL pipelines for batch and streaming data processing using SQL and Python.
• Optimize Snowflake workloads for performance and cost efficiency.
• Implement data quality checks, monitoring, observability, governance, and security controls.
• Manage data engineering workloads using Git and CI/CD practices.

Required Skills

• 5-9 years of experience in Data Engineering.
• Strong hands-on experience with Snowflake, SQL, Python, and Azure Data Factory (ADF).
• Deep understanding of data warehousing and dimensional modelling.
• Experience developing ELT/ETL and data ingestion pipelines with orchestration.
• Proficiency with Git, CI/CD, data quality, monitoring, and observability.
• Experience with APIs, data integration, and data contracts.
• Exposure to Azure, AWS, or GCP cloud platforms.

Preferred Skills

• Experience with DBT, Airflow, Dagster, Fivetran, Spark, Databricks, or Kafka.
• Knowledge of data testing frameworks such as Great Expectations or Soda.
• Exposure to Terraform, Helm, Kubernetes, RBAC, catalogs, and data lineage.

Key Skills

Education

Any Graduate