Description

You design, build, and optimize scalable data pipelines and models using Snowflake, Python, and Azure Data Factory.

This role is on-site.

Responsibilities

• Design and maintain scalable Snowflake data models, schemas, and dimensional models.
• Build and orchestrate ADF pipelines for data ingestion, ELT/ETL processing, and workflow management.
• Write complex SQL and Python scripts for data transformation, automation, and performance optimization.
• Implement data quality checks, monitoring, observability, and security controls.
• Manage version control with Git and CI/CD practices for deploying data engineering workloads.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake, SQL, and Python.
• Proficiency in Azure Data Factory (ADF) and data warehousing concepts.
• Experience building ELT/ETL pipelines and data ingestion workflows.
• Knowledge of Git, CI/CD, and data quality monitoring.
• Experience with APIs, data integration, and data contracts.
• B.E., B.Tech, or any graduation degree.

Preferred Skills

• Experience with DBT, Airflow, Spark, Databricks, or Kafka.
• Familiarity with cloud platforms (Azure, AWS, or GCP).
• Knowledge of data testing frameworks (Great Expectations, Soda) or IaC tools (Terraform, Helm).

Key Skills

Education

Any Graduate