Description

You will manage end-to-end data lifecycles to support data-driven decision-making through efficient extraction, transformation, and loading processes.

Responsibilities

• Manage end-to-end ETL processes and design data pipelines following industry best practices.
• Extract, analyze, and interpret data using SQL and database management systems to generate business insights.
• Implement data warehousing techniques and cube design to optimize data storage and retrieval.
• Develop user-friendly dashboards and reports using data visualization and business intelligence tools.
• Collaborate with internal and external stakeholders to define data requirements and deliver actionable recommendations.

Required Skills

• 3+ years of experience with data analysis, databases, data infrastructure, and ETL processes.
• 3+ years of experience in Python, Java, or C++.
• 3+ years of experience partnering with or managing stakeholders, users, or customers.
• Proficiency in SQL and database management.
• Experience with ETL and data pipeline management.
• Ability to perform statistical analysis and pattern identification.
• Bachelor’s degree in Engineering, Computer Science, or a related field.

Preferred Skills

• Master’s degree in Engineering, Computer Science, or Business.
• Experience with Google Cloud Platform (GCP), BigQuery, Spanner, F1, or Criti.
• Exposure to full-stack development, particularly Angular frameworks.
• Experience with enterprise-level system design and data management.

Key Skills

Education

Bachelor’s degree in Engineering, Computer Science