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Databricks Engineering Lead
2 months ago
About the Role
We are seeking a highly skilled Senior Databricks Engineer to join our Enterprise Data Team at Terumo Blood and Cell Technologies. As a critical member of our team, you will be responsible for developing and delivering engineering solutions that align with our business requirements.
Key Responsibilities
- Develop and implement scalable analytics solutions on the Azure platform.
- Utilize Azure's suite of tools to create robust and efficient data systems.
- Design, develop, and manage end-to-end data pipelines.
- Focus on efficient data collection, storage, and access methods.
- Ensure high-quality data engineering, including ETL processes and data modeling.
- Design and implement data solutions using Databricks.
- Work with Delta Lake, data warehouses, and data marts.
- Create analytics solutions that support organizational needs.
- Conduct discovery exercises to understand the data landscape.
- Develop and demonstrate proof of concepts to stakeholders.
- Work across teams to align data solutions with business objectives.
- Apply industry best practices to ensure data and code quality.
- Focus on consistency and maintainability in all projects.
- Stay updated with the latest trends and technologies in data analytics.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
- Extensive experience in Data Lake and DataMart Development:
- Over 5 years of overall experience in the field.
- More than 4 years specifically dedicated to developing data lakes and DataMarts on the Databricks platform.
- Proficient in designing and implementing scalable data architectures.
- Proven Expertise in Data Engineering:
- 6+ years of hands-on experience in data engineering.
- Strong focus on Azure Databricks and related Azure services.
- Demonstrated ability to develop and optimize complex data ingestion processes.
- Track record of significantly improving data processing performance.
- Demonstrated expertise in programming languages such as Python, Spark, and SQL, with a strong emphasis on writing efficient and maintainable code.
- In-depth experience with Apache Spark and its ecosystem, particularly its integration with Databricks for large-scale data processing.
- Advanced proficiency in SQL, coupled with a solid background in data modeling techniques (e.g., Star Schemas) and practical knowledge of data warehousing concepts.
- Proven track record in developing and maintaining data warehouses and data marts, showcasing an understanding of ETL processes and data pipeline architectures.
- Comprehensive understanding of data security principles and best practices, including data encryption, access control, and compliance with relevant regulations.
- Exceptional communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders effectively.
- Familiarity with software engineering best practices, including version control systems (particularly Git) and experience with CI/CD pipelines for streamlined development and deployment.
- Strong analytical and conceptual thinking skills, paired with excellent collaboration abilities to work effectively in cross-functional teams.
- Robust understanding of system architectures and design patterns, with the capability to design and develop applications adhering to these principles.
- Outstanding problem-solving skills, demonstrating the ability to structure and implement appropriate analytical solutions for complex data challenges.
- A strong sense of teamwork, ownership, and accountability, ensuring project goals are met and high-quality deliverables are produced.
