This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.
What Youll Do:
Lead and manage our data engineering team, guiding them to deliver exceptional results and fostering professional growth.
Implement robust, reliable and scalable data pipelines and data architecture
Own and develop Arpeely DWH (Petabytes of data!)
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring
Collaborate with cross-functional teams to define, design, and ship new features
Continuously discover, evaluate, and implement new technologies to maximize development efficiency
Design and build solutions that optimize our technology products
Develop tailormade solutions as part of our data pipelines
Lead complex Big Data projects and build data platforms from scratch
Drive continuous improvement initiatives to enhance team productivity and efficiency
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints
Design data profiling to identify anomalies and maintain data integrity
Work in a results-driven, high-paced, rewarding environment
3+ years experience as a Data Engineering Team Leader.
5+ years experience as a Data Engineer.
Strong experience in SQL and Python.
Good working knowledge of Google Cloud Platform (GCP).
Experience with high volume ETL/ELTs tools and methodologies – both batch and real-time processing.
Understanding of how to build robust and reliable solutions.
The ability to understand the business impact of the data engineering tasks
Hands-on experience in writing complex queries and optimizing them for performance.
Able to understand complex data and data flows.
Have a strong analytical mind with proven problem-solving abilities.
Ability to manage multiple tasks and drive them to completion.
Independent and proactive.
