Data Engineering Lead
3 uur geleden
Job Title
Data Engineering Lead
Job Summary
ADM is seeking a Data Engineering Lead, someone who thrives in an environment continuously integrating and deploying data products and analytics driving business value. The Data Engineering Lead is responsible for delivery, adherence to standards, and mentoring team members. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.
Key Responsibilities
- Design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data science.
- Teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performance.
- Design and integrate fault tolerance and enhancements into data pipelines to improve quality and performance.
- Lead and perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs.
- Engage business end users and shares responsibility leading a delivery team.
- Mentor Data Engineers at all levels of experience.
- Advanced experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systems.
- Advanced experience with Azure DevOps, GitHub, CI/CD.
- Advanced experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouse.
- Advanced experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based.
- Advanced experience with data warehousing concepts and agile methodology.
- Advanced experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasets.
- Experienced presenting conceptual and technical improvements to influence decisions.
- Continuous learning to upskill data engineering techniques and business acumen.
- Degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.
- 7+ years proven Data Engineering experience in a complex agile environment.
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