Requirements: English
Company: Coleto Brands
Region: Fully , Wallis
Description
Coleto Brands (now the parent Company of Progress Lighting and Kichler) is looking for a highly skilled Enterprise Data Engineer with a passion for building robust data systems. The ideal candidate will have a deep understanding of data governance and analytics and will play a crucial role in shaping the future of our data infrastructure.
If you are dedicated to getting your job done on time and according to plan, we want you to apply!
Duties And Responsibilities
- Designing, building and maintaining the data infrastructure for the organization
- Developing and managing data pipelines, processes, and SAP Datasphere warehouse supplying the SAP Analytics Cloud platform
- Collaborating with data analyst(s), technology and business team members, and reporting to the manager of Data Analytics to meet specific data needs across the enterprise
- Participate in the full lifecycle of data analytics projects, from requirements gathering and design to development, testing and deployment
- Design, develop and maintain data warehouse(s) to store and organize large datasets for analysis and reporting
- Architect and build scalable data pipelines to move data between different systems, including data warehouses, cloud based and on-premises software applications and analytics tools
- Extract data from diverse sources (databases, APIs, applications) and implement efficient data ingestion processes (ETL processes and CDS views)
- Clean, standardize, and transform raw data into a usable format for analysis, including data validation and quality checks (ETL processes)
- Create data models to represent relationships between data entities, ensuring data consistency and accessibility based on business requirements
- Monitor data quality, identifying and resolving data inconsistencies, and implementing data quality checks throughout the pipeline
- Monitor and optimize data pipelines for efficiency and performance, including query optimization and data compression
- Ensure enterprise compliance with data privacy regulations and implement appropriate data security measures and access controls
- Work closely with data analysts and business users to understand their data needs and translate them into technical requirements
- Partner and communicate effectively across departments, data stewards, business and IT stakeholders data governance objectives, policies, and practices
- Collaborate with cross-functional teams to understand data needs, communicate data insights, and address data related challenges
- Stay updated on emerging data analytics tools, technologies, and SAP recommending and implementing new solutions to enhance data analysis capabilities
- Perform other related duties necessary to conduct job objectives in an efficient and effective manner
- Provide support for internal and external financial audits
Skills And Experience
- Strong proficiency in data warehousing technologies and creating ETL (Extract, Transform, Load) processes within Datasphere and CDS views for SAP Analytics Cloud
- Deep knowledge in SQL, scripting languages such as Python or R, and JavaScript
- Deep understanding of data governance principles, data quality methodologies, data lifecycle management
- Excellent ability to communicate complex data concepts to non-technical stakeholders, influence, and drive decision-making, as well as lead teams
- Expertise in relational database management systems and capability to design and implement data models for efficient data storage and retrieval
- An understanding of business processes and how data can be leveraged to meet financial, operational, and strategic goals
- Proven experience in data management roles, with experience managing large, complex, and diverse datasets from multiple data sources, including real-time streaming data
- 5+ years of experience in data governance, data management or related field
- 3+ years of experience with cloud platforms such as SAP Analytics Cloud, Datasphere, S4/HANA (public cloud preferred), and BTP
- Bachelors degree in information management, data science, statistics, engineering, computer science, business administration or similar field of study or equivalent relevant work experience
- Preferred:
- Masters degree in business administration (MBA) with a concentration in data analytics, data science or masters degree in a related field
- Certified Data Management professional (CDMP) and/or Certified Analytics Professional (CAP)
Travel requirements:
5% of time
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
About US
Coleto Brands is a dynamic collective of brand