Description

You will build and maintain scalable data platforms using modern data engineering practices.

This role is on-site.

Responsibilities

• Build and maintain data observability and automated data quality frameworks.
• Implement pattern recognition and anomaly detection solutions for data issues.
• Establish end-to-end data lineage tracking for source visibility.
• Develop and support data pipelines, maintaining performance and reliability.
• Integrate third-party data sources via API connections.

Required Skills

• 2+ years in data engineering or data platform development.
• Strong hands-on experience with Snowflake, including Data Warehousing and Snowpipe.
• Proficiency in SQL and Python.
• Experience with Apache Airflow.
• Familiarity with Data Modeling and Data Quality practices.
• Experience working with AWS, Azure, or GCP.

Preferred Skills

• Knowledge of cloud data services.
• Experience with CI/CD practices.

Key Skills

Education

Any Graduate