
Are you a seasoned Data Engineering professional with a passion for leading high-performing teams? Do you have expertise in Azure, a strong knowledge of AWS, Python, ETL processes, PySpark, and Airflow, and an eagerness to delve into the world of Machine Learning? If so, we have a fantastic opportunity for you!
About The Client: They are a dynamic and innovative organization at the forefront of data-driven decision-making. Their team is expanding, and they're seeking a talented Data Engineering Manager to lead their Prague-based data engineering team.
Key Responsibilities:
Azure Mastery: Utilize your deep expertise in Azure to design, build, and maintain data solutions that drive our business forward.
AWS Knowledge: Leverage your knowledge of AWS to enhance our existing data infrastructure and facilitate seamless integration with Azure.
ETL Excellence: Lead your team in the development and optimization of ETL processes, ensuring data quality and consistency.
PySpark Prowess: Drive innovation by using PySpark to develop robust data pipelines and processing.
Airflow Authority: Implement and manage Airflow workflows for efficient data orchestration.
ML Familiarity: Collaborate with our data science team to ensure data is readily available for machine learning model training and deployment.
Qualifications:- Proven experience as a Data Engineering Manager or similar role.
- Extensive knowledge of Azure data services.
- Strong familiarity with AWS services.
- Proficiency in Python for data engineering tasks.
- Experience with ETL processes and best practices.
- Demonstrable expertise in PySpark and Airflow.
- Familiarity with Machine Learning concepts and data requirements.
What We Offer:- Competitive salary and benefits package.
- The opportunity to lead a talented and passionate data engineering team.
- A dynamic and innovative work environment.
- Ongoing professional development and training opportunities.
If you are a Data Engineering Manager who thrives on solving complex data challenges, driving innovation, and leading a high-performing team, we want to hear from you. Join us and be at the forefront of data-driven success!