Data Engineer (Data Pipelines & Modeling)

Qualifications

• 5-7 years of experience in data engineering and pipeline development.
• Proficient in Python and SQL for data manipulation.
• Hands-on experience with Apache Spark or similar big data tools is essential.
• Strong understanding of ETL/ELT processes and data warehousing techniques.
• Ability to work independently and collaboratively across teams.
• Bachelor's or Master's degree in Computer Science, IT, or a related field.

Responsibilities

• Design and implement effective data ingestion pipelines from diverse sources.
• Support migration efforts for offline databases, focusing on data accuracy.
• Integrate enterprise data systems into centralized platforms for accessibility.
• Develop data models specifically for workforce planning applications.
• Forecast and improve service operations through data analysis.
• Create optimized data schemas for improved analytics and reporting.
• Maintain high standards of data quality and integrity across all models.