Data Engineering Team Lead
3 days ago
We are seeking an experienced Technical Lead to spearhead our Data Engineering team. As a key member of our organization, you will lead a team of 5 talented engineers to design, develop, and maintain complex data pipelines.
The successful candidate will be responsible for overseeing the entire data engineering lifecycle, from data ingestion and transformation to data warehousing and reporting. You will work closely with cross-functional teams to understand their needs and deliver impactful solutions.
About the Role- Technical Leadership: Lead and mentor a team of 5+ data engineers, fostering a culture of innovation and continuous improvement.
- Data Engineering: Design, develop, and maintain robust data pipelines using Clojure, Java libraries, Airflow, and other relevant technologies.
- Cloud Infrastructure: Leverage Azure, Docker, Terraform, Helm, and Kubernetes to deploy and manage scalable data infrastructure.
- Data Modeling: Create and maintain efficient and effective data models, including PowerBI models.
- ETL Processes: Oversee the development and optimization of ETL processes to ensure timely and accurate data delivery.
- Performance Optimization: Identify and implement strategies to improve data loading performance and system efficiency.
- Problem-Solving: Analyze complex data challenges and devise innovative solutions.
$120,000 - $150,000 per year, depending on experience.
Requirements- Proven experience as a Technical Lead in data engineering or a similar role.
- Strong proficiency in Clojure, Java libraries, Airflow, Azure, Docker, Terraform, Helm, Kubernetes, and PowerBI.
- Deep understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with Python is a plus.
- Excellent problem-solving and analytical skills.
- Strong leadership and communication skills.
- Ability to work independently and as part of a team.
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