Description

You build and maintain data pipelines for batch and streaming workloads.

Responsibilities

• Build, maintain, and optimize data pipelines for batch and streaming workloads.
• Develop data models and transformations supporting analytics and reporting.
• Integrate new data sources, APIs, and event streams into the platform.
• Implement data quality checks, testing, and monitoring for data flows.

Required Skills

• 5+ years of experience as a Data Engineer or similar role.
• Hands-on experience with Snowflake, including SQL, modeling, and optimization.
• Experience with dbt or similar for model development and testing.
• Strong SQL skills for data modeling and analysis.
• Proficiency with Python for pipeline development and automation.
• Experience with orchestration tools (Airflow, Dagster, Prefect, or equivalent).
• Understanding of ETL/ELT design patterns and data modeling best practices.
• Familiarity with cloud environments (AWS, GCP, or Azure).

Preferred Skills

• Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).

Key Skills

Education

Any Graduate