Data Engineering Team Lead

hace 3 días

Santiago, Chile Techbiz Global Gmbh A tiempo completo

About TechBiz Global TechBiz Global is a leading recruitment and software development company.
Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.
With headquarters in Germany we have successful clients all over the world.
We can understand your unique needs.
Our team has hands-on experience with the challenges that come with rapid growth and the IT sector.
That's why all of our offerings are built with a tech mindset.
About Our Client:  Our Client is buying and scaling profitable businesses in the United States and Europe.
They are seeking a Data Engineering Team Lead to join a world-class end-to-end Data Engineering organization.
Position/Main Responsibilities: As a Data Engineering Team Lead, you will: Lead Data Engineers and collaborate closely with Software Development Engineers (SDEs), Analytics Engineers (AEs), and Infrastructure Engineers (IEs).
Build a modular, flexible data engineering infrastructure for continuous iterative improvements.
Serve customers including eCommerce, Marketing, Supply Chain, Finance, Investment, and Legal departments.
Develop data products to support every aspect of the business.
Design and build data models and infrastructure in collaboration with Analytics and Infrastructure Engineering.
Engage in hands-on development of data engineering components using innovative tools.
Responsibilities include, but are not limited to: Lead and provide technical guidance to the Data Engineering team.
Collaborate with various engineering teams within the technology department.
Focus on continuous improvement of the data engineering infrastructure.
Understand data as a strategic resource and build data products accordingly.
Design and develop data models and infrastructure.
Conduct hands-on development in data engineering.
Basic Qualifications: 6+ years of hands-on experience in Data Engineering, including roles like Lead Data Engineer or Senior Data Engineer.
3+ years of management experience leading a team of Data Engineers.
Expertise in onboarding raw datasets from disparate sources and designing flexible data models.
4+ years of experience with Multi-Cloud Data Platform Technologies (e.g., GCP, AWS, Azure).
3+ years of experience with Google Cloud Platform, including Big Query and other related services.
Proficiency in developing automation and ETL pipelines using Python or other programming languages.
Extensive collaboration experience with software developers and analytics engineers.
Strong experience in data modeling, ETL development, and data warehousing.
Proven success in communicating with business users, technical teams, and senior leadership.
Ability to manage multiple competing priorities in a fast-paced environment.
Excellent verbal and written communication skills.
Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
Master's degree in a related field.
Experience defining data architectures and designing Data Warehouse dimensional models.
Expertise in building and delivering complex, modular data systems with documented interfaces.
Knowledge of NoSQL and In-Memory Databases is a plus.
Familiarity with data engineering best practices, coding standards, and lifecycle processes.
Equal Employment Opportunity Statement: Our Client is an equal opportunity employer and considers all applicants for employment without any regard to race, skin color, religion, gender identity, sexual orientation, age, disability, or protected classes.

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