As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.
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:
Implement robust, reliable and scalable data pipelines and data architecture
Own and develop 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
Develop tailormade solutions as part of our data pipelines
Lead complex Big Data projects and build data platforms from scratch
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints
Implement data profiling to identify anomalies and maintain data integrity
Work in a results-driven, high-paced, rewarding environment
Requirements: 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
This position is open to all candidates.