
Senior Data Engineering Leader
6 days ago
We are seeking a skilled Data Engineering Leader to oversee the design, development and management of our data infrastructure and pipelines. This role involves technical leadership, project management and collaboration with other teams to ensure efficient data collection, storage, processing and analysis.
The successful candidate will be responsible for leading the design, development and maintenance of data pipelines and ETL processes, as well as implementing scalable data solutions using Databricks and AWS. They will also be expected to optimize data storage and retrieval systems, develop and maintain data APIs and orchestrate and automate data workflows.
Qualifications RequiredTo be successful in this role, candidates will require:
- A Bachelor's or Master's degree in Computer Science, Engineering or related field
- 10+ years of experience in data engineering, with at least 6 years in a lead role
- Strong proficiency in Python, PySpark and SQL
- Extensive experience with Databricks and AWS cloud services
- Hands-on experience with Airflow for workflow orchestration
- Familiarity with FastAPI for building high-performance APIs
This is an exciting opportunity to contribute to the development of cutting-edge solutions while advancing your career in a dynamic and collaborative environment. You will have access to online university courses and sponsored certifications, as well as Tech Talks, industry events and seminars to foster innovation and learning.
Our generous benefits package includes health insurance, retirement benefits, flexible work hours and more. We also offer a supportive work environment with forums to explore passions beyond work.
What We OfferIn addition to a competitive salary and comprehensive benefits package, we offer a range of perks and opportunities to support your personal and professional growth.
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