onsite
Intelligence Data Engineer
Data Engineer
Design and implement scalable data pipelines and algorithms for intelligence data, leveraging Python, SQL, and cloud services to enable robust data exploration, generation, and analysis.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines that ingest, transform, and store large volumes of intelligence data.
- Implement algorithmic solutions for data generation, enrichment, and exploratory analysis.
- Collaborate with data scientists and analysts to translate analytical requirements into reliable data models and ETL processes.
- Optimize data workflows for performance, scalability, and cost efficiency on cloud platforms such as AWS.
- Ensure data quality, governance, and security throughout the data lifecycle.
Requirements
- Strong proficiency in Python and SQL for data manipulation and pipeline development.
- Experience building and maintaining data models and ETL processes in a cloud environment (AWS preferred).
- Solid understanding of data engineering concepts, including data warehousing, streaming, and batch processing.
- Ability to design algorithms for data generation and exploratory analysis.
- Excellent problem‑solving skills and ability to work cross‑functionally with analytics teams.