Data Engineering Leadership Position

Bebeedataengineering; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading data solutions company located in Manaus, Brazil, seeks a Data Engineering Lead to oversee a team of engineers. This role involves providing technical direction, designing scalable data pipelines, and ensuring best practices. The ideal candidate must have over 8 years of data engineering experience, solid Python programming skills, and a strong background in ETL optimization. Familiarity with Snowflake, Apache Airflow, and containerization tools is essential. This position offers a chance to work on complex projects and mentor talent within a dynamic environment.

Qualificações

• 8+ years of experience in data engineering.
• Strong programming skills in Python.
• Extensive experience with Snowflake or equivalent data warehouses.

Responsabilidades

• Provide technical leadership and guidance to the team.
• Design and implement end-to-end data pipelines.
• Ensure high-quality solutions through thorough testing and optimization.

Conhecimentos

Technical leadership

Strong programming skills in Python

Expertise in building and optimizing ETL pipelines

Experience with Snowflake or equivalent data warehouses

Knowledge of Apache Airflow

Understanding of messaging queues

Familiarity with Docker and Kubernetes

Descrição da oferta de emprego

Data Engineering Leadership OpportunityThis is an exciting opportunity to lead a team of data engineers, providing technical direction and mentorship while ensuring best practices in coding, architecture, and data operations.

Technical Leadership: Provide technical guidance and support to the team to ensure high-quality solutions.

End-to-End Ownership: Architect, implement, and optimize data pipelines that process and transform large‑scale datasets efficiently and reliably.

Orchestration and Automation: Design scalable workflows using orchestration tools such as Apache Airflow, ensuring high availability and fault tolerance.

The ideal candidate will have 8+ years of experience in data engineering, strong programming skills in Python, and expertise in building and optimizing ETL pipelines.

They should also have extensive experience with Snowflake or equivalent data warehouses and orchestration tools like Apache Airflow.

Additionally, they should have a deep understanding of messaging queues and containerization tools like Docker and Kubernetes.

Key Responsibilities

• Provide technical leadership and guidance to the team.
• Design and implement end-to-end data pipelines.
• Ensure high-quality solutions through thorough testing and optimization.

Requirements

• 8+ years of experience in data engineering.
• Strong programming skills in Python.
• Expertise in building and optimizing ETL pipelines.
• Experience with Snowflake or equivalent data warehouses.
• Extensive knowledge of Apache Airflow and other orchestration tools.
• Understanding of messaging queues and containerization tools.

This role offers a unique opportunity to work on complex data engineering projects and collaborate with a talented team of engineers.

If you are passionate about data engineering and leadership, please apply for this exciting opportunity.