Job Description

As a Data Engineering Lead at Kapiva, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.

Responsibilities:

• Team Leadership: Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
• Data Pipeline Development (Google Cloud Focus): Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
• Data Architecture and Optimization: Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
• Cross-functional Collaboration: Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 7+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
• Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
• Experience with data modeling, ETL processes, and data integration.
• Strong programming skills in languages like Python or Java.
• Excellent problem-solving and communication skills.
• Leadership experience and the ability to manage and mentor a team.