We are seeking a passionate
Data Systems Engineer
who thrives on building data-driven solutions and uncovering insights that drive business growth. You will be responsible for collecting, processing, and analyzing complex datasets to support business decisions across multiple domains.
This role requires a combination of data engineering, analytical, and visualization skills to turn raw data into clear, actionable insights.
Responsibilities
- Understand the day-to-day issues our business faces and identify opportunities to improve decisions using data.
- Compile, clean, and analyze datasets from multiple internal and external sources.
- Develop automated ETL pipelines to process both structured and unstructured data.
- Perform web scraping and API-based data ingestion.
- Build dashboards and visualizations to communicate insights clearly to stakeholders.
- Support the creation and deployment of AI/ML-based products to solve business problems.
Qualifications
- Bachelor's or Master's degree in Statistics, Applied Mathematics, Computer Science, or a related field.
- 1–2 years of experience in Data Science, Data Engineering, or related fields.
- Proficient in relational databases and SQL.
- Experience with ETL tools and data pipeline development.
- Strong Python skills (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch is a plus).
- Familiarity with data visualization tools (Tableau, Power BI).
- Experience in data collection through web scraping and APIs.
Preferred Attributes
- Strong analytical thinking and problem-solving skills.
- Curious and proactive in exploring data-driven solutions.
- Excellent communication skills and ability to simplify complex findings.