Required Data Engineering Team Lead
As our Data Engineering Team Leader, you will manage a Data Engineering team that deals with real Big Data, 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:
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 our 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 tailor made 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.
As our Data Engineering Team Leader, you will manage a Data Engineering team that deals with real Big Data, 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:
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 our 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 tailor made 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.
Requirements:
2+ 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.
2+ 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.
This position is open to all candidates.
