Responsibilities:As a pivotal member of our rapidly expanding business, your role involves:
1. Designing and Maintaining Data Architectures and Pipelines:
2. Create and optimize robust data architectures and pipelines.
3. Assemble intricate data sets that align with both functional and non-functional business requirements.
4. Identify opportunities to acquire new data from various systems.
5. Enhancing Processes:
6. Develop and refine data set processes for effective data modeling, mining, and production.
7. Build the necessary infrastructure for seamless data extraction, transformation, and loading from diverse data sources.
8. Data Reliability and Efficiency:
9. Recommend and implement strategies to enhance data reliability, efficiency, and quality.
10. Collaborate with Data Scientists and Machine Learning Engineers to construct analytics tools that leverage the data pipeline. These tools provide actionable insights related to asset management, operational efficiency, and other critical business metrics.
11. Cross-Functional Collaboration:
12. Work closely with stakeholders, including Product Owners, data science teams, and design teams. Assist them with data-related technical challenges and support their data infrastructure needs.
13. Creating Tools:
14. Develop data tools tailored for analytics and data scientist team members. These tools empower them to build and optimize products that drive busines...