- Design, develop, and maintain robust data pipelines for ingesting, processing, and transforming data from various sources into usable formats.
- Architect and manage our data lake, ensuring it serves as a central repository for structured and unstructured data, supporting analytics and data exploration.
- Implement and manage data warehousing solutions for structured data. Ensure data is organized, indexed, and accessible for analytics.
- Create and manage data models and schemas to support data storage and retrieval needs. Optimize data structures for performance and scalability.
- Develop and maintain ETL processes to ensure data quality, consistency, and accuracy. Transform and clean data as needed for downstream consumption.
- Collaborate with cross-functional teams to integrate data from diverse sources, including databases, APIs, external systems, and data lakes.
- Establish and enforce data quality standards and practices. Implement data validation and error handling mechanisms.
- Monitor and optimize data pipelines, data lakes, data warehouses, and databases for performance, scalability, and efficiency.
- Implement data security and access control measures to protect sensitive data.
- Maintain clear and comprehensive documentation of data processes, pipelines, and infrastructure.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Proven experience as a Data Engineer or similar role, with expertise in data pipeline development, data modeling, data lake management, and data warehouse management.
- Proficiency in data engineering technologies and tools, including ETL frameworks, data warehousing solutions, and database management systems.
- Strong programming skills in relevant languages.
- Experience with data orchestration and workflow management tools
- Familiarity with cloud platforms and containerization technologies.
- Knowledge of data governance and compliance standards.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills.
OTHER KEY CONSIDERATIONS
- Adept at SCRUM/Agile methodologies and environment
- Highly organized and able to work in a fast-paced environment.
- Able & willing to learn new tools, software, and processes.
- Able to take direction, listen to the needs of business managers, and interpret their needs into technical instructions.
- Effective working on teams, within, and outside of function.
- Able to work under pressure.
Create clear and informative data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
Develop and implement appropriate statistical and machine learning techniques to make predictions, classify data, and solve specific business challenges.
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