
Data Engineering Team Lead
3 days ago
Data Engineering Lead Position
\- Lead the development of complex pipeline solutions to address business needs by designing, developing, and delivering detailed process designs for day-to-day operations.
- Maintain alignment with overall architecture and facilitate peer reviews to secure sign-off from stakeholders.
- Oversee team activities, review and merge pull requests, manage delivery roadmaps, and track user story progress in JIRA boards.
- Review releases and migration activities, conduct code reviews, serve as technical SME, and lead documentation efforts.
- Proactively communicate updates to stakeholders and initiate/review architecture changes for continuous optimization.
Key Responsibilities:
\- Achieve high quality and timeliness of preclinical pipeline deliverables.
- Maintain effective technical documentation and pipeline management aligned with standards.
- Collaborate with other product teams and technical leads.
- Develop training, mentoring, and coordination skills to effectively manage internal/external analysts.
Job Details:
\The role requires close collaboration with the Preclinical Pipeline Lead to define roadmaps and delivery plans. Ensure timely execution, maintain documentation, and manage release communications.
\Requirements:
\- Bachelor's/Master's degree in Computer Science, Applied Mathematics, or related field.
- 8+ years IT experience, 6+ years in Data Engineering on Big Data platforms.
- Ability to work and lead cross-functional teams.
- Strong project management, communication, and Git workflow skills.
- Expertise in Python, PySpark, Spark, Palantir Foundry Platform, and AI/ML concepts.
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