Data Engineering Lead
il y a 3 jours
We are seeking a highly skilled and forward-thinking Lead Data Engineer to helm the engineering side of a significant data transformation program for our customer.
Key Responsibilities- Define Data Architectures: Develop and implement data architectures, data models, and data integration strategies aligned with business goals.
- Lead Data Pipeline Design: Design and implement data pipelines and data lakehouse solutions that are scalable, efficient, and meet business requirements.
- Establish Data Pipelines: Develop and optimize technical and physical data models, and establish scalable data pipelines for analytics use cases.
- Leverage Generative AI: Leverage generative AI to streamline workflows, automate pipeline and data migrations, and continuously seek methods to reduce delivery time using automation and generative AI techniques.
- Collaborate with Technology Partners: Collaborate with technology partners to ensure high data quality and build data solutions following best practices.
- Mentor the Data Engineering Team: Mentor the Data Engineering team for quality code production and ensure that they have the necessary skills and knowledge to perform their duties.
- Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Experience: Over 6 years of experience in Data Engineering, with a strong emphasis on architecture.
- Skills: In-depth knowledge of data lakehouse concepts, data management processes, and data integration techniques, as well as experience with performance tuning and optimization of data pipelines.
- Preferred Skills: Innovative mindset with a constant eye on improving the productivity of data engineering work, and experience in leveraging generative AI to increase data engineering productivity.
- Flexible Working Format: Remote, office-based, or flexible working format.
- Competitive Salary and Compensation Package: A competitive salary and good compensation package.
- Professional Development Tools: Professional development tools, including mentorship program, tech talks and trainings, centers of excellence, and more.
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