
Building Scalable Data Solutions
2 semanas atrás
Senior Data Engineering Manager
Overview:This is a leadership role for an experienced Senior Data Engineering Manager to design, build and manage large-scale data architectures, workflows, tools and automation to process data and apply engineering principles to solve global business challenges.
About the Job:- Design and develop end-to-end data solutions, managing data pipelines from ingestion to analytics.
- Collaborate with cross-functional teams to create highly scalable solutions.
- Work on cloud-based solutions, evaluating performance and cost of potential architectures.
- Understand software development life cycles to collaborate and integrate solutions with other technical areas.
- Interact with other teams to understand business challenges and propose solutions.
- 10+ Years of experience in designing and implementing large-scale data architectures.
- 10+ Years of advanced Python programming experience.
- 5+ Years of experience working with SQL and Spark.
- 5+ Years of experience working in cloud environments (AWS or GCP).
- Knowledge of containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes).
- Experience with version control systems, preferably Git.
- Experience with workflow orchestration tools like Airflow.
- Knowledge of data architectures and systems integration.
- Ability to troubleshoot and solve complex software system issues.
Our team offers a collaborative work environment that encourages innovation, creativity, and expertise. We value solving complex business challenges through cutting-edge technology and tailored solutions.
Additional Information:The ideal candidate will have experience implementing and deploying machine learning solutions, as well as working with data scientists to create highly scalable solutions.
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