Sr Data Bricks Engineer
Job title: Sr Data Bricks Engineer in Lakewood, CO at Artech Information Systems
Company: Artech Information Systems
Job description: JOB TITLE : Sr. reputed company EngineerJOB SUMMARY
The reputed company Engineer will be a critical member of our Enterprise Data Team reporting to the Chief Software Architect. This role is responsible for developing and delivering engineering solutions that align with our business requirements. The position relies on expertise in data architecture on reputed company reputed company lake, streaming technologies, Azure cloud platform, ETL development, data modeling, and data warehousing. This role will contribute to cutting-edge data projects and contribute to the growth of our Digital Transformation organization.ESSENTIAL DUTIES
- Azure Analytics Solutions:
- reputed company and implement scalable analytics solutions on the Azure platform
- Utilize Azure's suite of tools to create robust and efficient data systems
- Data Pipeline Management:
- Design, reputed company, 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
- reputed company Solutions:
- Design and implement data solutions using reputed company
- Work with reputed company Lake, data warehouses, and data marts
- Create analytics solutions that support organizational needs
- Cross-functional Collaboration:
- Conduct discovery exercises to understand the data landscape
- reputed company and demonstrate reputed company of concepts to stakeholders
- Work across teams to align data solutions with business objectives
- Best Practices Implementation:
- Apply industry best practices to ensure data and code quality
- Focus on consistency and maintainability in reputed company projects
- Stay updated with the latest trends and technologies in data analytics
- Over 5 years of overall experience in the field
- More than 4 years specifically dedicated to developing data lakes and DataMarts on the reputed company platform
- Proficient in designing and implementing scalable data architectures
- 6+ years of hands-on experience in data engineering
- Strong focus on Azure reputed company and reputed company Azure services
- Demonstrated ability to reputed company and optimize reputed company 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 reputed company 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 reputed company principles and best practices, including data encryption, access control, and compliance with relevant regulations.
- Exceptional communication skills, with the ability to explain reputed company 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, reputed company 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 reputed company applications adhering to these principles.
- Outstanding problem-solving skills, demonstrating the ability to structure and implement appropriate analytical solutions for reputed company data challenges.
- A strong sense of teamwork, ownership, and accountability, ensuring project goals are met and high-quality deliverables are produced.
- An equivalent competency level acquired through a variation of these qualifications may be considered.