
Data Engineering Lead
2 days ago
Job Summary:
We are seeking a seasoned Data Engineering Lead to drive the design and implementation of our data platforms. The ideal candidate will have extensive experience in leading high-performance agile teams, architecting data systems, and delivering scalable data solutions.
Responsibilities:
- Leverage expertise in data engineering to develop and maintain large-scale data pipelines.
- Collaborate with cross-functional teams to design and implement data architectures that meet business needs.
- Develop and execute plans to improve data quality, governance, and security.
- Lead the development and deployment of data engineering tools and technologies.
- Work closely with data scientists and analysts to ensure data is properly curated, processed, and presented for analysis.
- Stay up-to-date with emerging trends and technologies in data engineering and apply knowledge to improve existing processes and systems.
Requirements:
- 12+ years of experience in data engineering with a strong background in designing and implementing large-scale data systems.
- Expertise in Azure cloud services, including ADLS, Delta Lake, and Unity Catalog.
- Hands-on experience with distributed data processing frameworks such as Spark and Databricks.
- Proficiency in Python programming language and proficiency in SQL scripting.
- Experience with unit testing, system integration testing, and DevOps practices.
- Azure Data Engineering certification or equivalent experience.
Benefits:
- Opportunity to work on complex and challenging projects.
- Collaborative and dynamic work environment.
- Competitive compensation package.
What We Offer:
- Excellent opportunities for professional growth and development.
- A collaborative and supportive team environment.
- Flexible working arrangements.
Preferred Qualifications:
- Prior experience with medical/healthcare domain.
- Excellent communication and leadership skills.
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