Data Solutions Engineer
3 weeks ago
The Data Solutions Engineer will play a crucial role in designing and implementing data pipelines, preparing data for analysis, and collaborating with stakeholders to generate insights that drive business improvements. This individual contributor position will have a split of 70% technical and 30% functional responsibilities.
Key Responsibilities- Business/Data Understanding
- Collaborate with project managers, business analysts, and other stakeholders to understand the data generated from various government and educational projects.
- Identify key business questions and challenges that can be addressed using the captured data.
- Translate business needs into data-driven solutions.
- Design and implement ETL processes to extract, transform, and load data from diverse sources into data warehouses or other storage systems.
- Ensure data integrity, consistency, and quality during the preparation phase.
- Work on data cleaning, transformation, and normalization to make data analysis-ready.
- Develop and maintain data models that represent the underlying structure of the data.
- Ensure that data models are scalable and adaptable to different use cases and future needs.
- Work closely with analysts to ensure that data models align with business requirements.
- Analyze data to generate insights that can be used to improve products and projects.
- Create dashboards, reports, and visualizations that help stakeholders understand the data and make informed decisions.
- Provide recommendations based on data analysis to support strategic business decisions.
- Identify and implement opportunities for improving data processes and systems.
- Stay up-to-date with the latest data technologies and methodologies to ensure best practices are applied.
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 3+ years of experience in data engineering or a similar role.
- Proficient in SQL, Python, and ETL tools.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data visualization tools (e.g., Tableau, Power BI).
- Strong problem-solving skills with the ability to translate business needs into technical solutions.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
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