Description

You will build and maintain data pipelines to integrate, cleanse, and structure data from multiple sources for client solutions.

This role is hybrid.

Responsibilities

• Build data pipelines to gather, consolidate, and structure data from various systems.
• Write optimized, efficient, and scalable SQL and Python code.
• Design, create, and interpret large and complex datasets.
• Implement data quality checks and troubleshoot anomalies within data pipelines.
• Visualize and communicate analytical findings to both technical and non-technical stakeholders.

Required Skills

• 5-7 years of experience as a data analyst or data engineer.
• Extensive experience with SQL.
• Strong working knowledge of Python.
• Experience designing and implementing moderately complex data models.
• Experience optimizing data models to improve performance.
• Proficiency with Git and CI/CD integration.
• Knowledge of Google Cloud Platform (GCP) and cloud computing concepts.
• BS degree in a STEM major or equivalent discipline.

Preferred Skills

• Master’s degree in a related field.
• Background in credit risk, financial data analytics, or risk modeling.
• Experience with big data platforms such as Google Cloud, AWS, Snowflake, or Hadoop.

Key Skills

Education

Any Graduate