onsite
Mid Data Practitioner Data / Analytics Engineering - Aily Labs SLU
Software Engineer
Mid-level Data Practitioner responsible for designing, building, and maintaining data pipelines and analytics solutions using Python, SQL, and modern data engineering tools. Focus on delivering actionable insights and scalable data infrastructure.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and store large volumes of structured and semi‑structured data.
- Collaborate with data scientists and business stakeholders to translate analytical requirements into scalable data solutions.
- Implement data quality checks, monitoring, and performance tuning to ensure high reliability and efficiency.
- Develop and maintain data models, schemas, and documentation for internal and external use.
- Support the deployment of machine learning models into production environments and monitor their performance.
Requirements
- 3+ years of experience in data engineering or analytics engineering roles.
- Experience with big data technologies (Spark, Hive, or similar) and containerization (Docker, Kubernetes) is a plus.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonsqlanalyticsmachine learning