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Data Engineer - Seurat Technologies
Data Engineer
Data Engineer building scalable data pipelines and analytics solutions using Python, SQL, Spark, and AWS services to support advanced manufacturing insights and decision-making.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of manufacturing and sensor data.
- Implement data models and schemas in relational and distributed data stores to support real‑time analytics and reporting.
- Leverage AWS services (S3, Redshift, Glue, EMR) and container orchestration (Docker, Kubernetes) for scalable, fault‑tolerant processing.
- Collaborate with data scientists and product teams to deliver high‑quality datasets for machine learning and optimization models.
- Monitor pipeline performance, troubleshoot issues, and continuously improve data quality and processing efficiency.
Requirements
- 3+ years of experience in data engineering, with strong proficiency in Python and SQL.
- Hands‑on experience with Apache Spark and distributed data processing frameworks.
- Solid understanding of AWS data services and cloud architecture.
- Experience with containerization (Docker) and orchestration (Kubernetes) is a plus.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonsqlapache sparkawsdockerkubernetes