Manager, Data Engineer - Infinitive

Key Responsibilities

• Lead the design, development, and implementation of scalable data pipelines and ETL processes.
• Manage and mentor a team of data engineers, fostering a collaborative and high-performing environment.
• Utilize Python and PySpark for data processing and transformation.
• Leverage AWS services for data storage, processing, and infrastructure management.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with stakeholders to understand data requirements and deliver effective solutions.

Requirements

• Proven experience in data engineering, with a focus on building and managing data pipelines.
• Strong proficiency in Python and PySpark for data manipulation and analysis.
• Extensive experience with cloud platforms, particularly AWS services (e.g., S3, Redshift, EMR, Glue).
• Solid understanding of SQL and database technologies.
• Experience in a leadership or management role, guiding technical teams.