What are the responsibilities and job description for the Senior Data Analytics & Pipeline Engineer position at Food Management Search?
In this role, you will sit at the intersection of complex data engineering, analytics development, and mission-focused intelligence. You’ll be responsible for building, optimizing, and maintaining continuous data analytics that drive high-stakes decision-making. If you love diving deep into multi-source data processing pipelines, writing robust code in Python and C , evaluating and enriching critical datasets, and leveraging specialized platforms like XKS with custom Fingerprints (FPs) and Model Scripts (MPs), this is the place to make an immediate impact.
Required Skills
- Data Analytics & Processing: Hands-on experience building, deploying, and maintaining high-throughput data processing workflows and target analytics.
- Core Programming: Strong, production-level proficiency in Python and C for analytics creation and data manipulation.
- Big Data Frameworks: Demonstrated experience utilizing Apache Spark for large-scale distributed data processing and analysis.
- Domain Tools: In-depth working knowledge and practical experience with XKS, specifically creating and deploying Fingerprints (FPs) and MPs.
- Data Enrichment: Proven experience with data curation, normalization, schema mapping, and feature extraction across high-volume datasets.
Desired Skills
- Data Pipeline Optimization: Familiarity with streaming data technologies (e.g., Kafka, NiFi) and distributed databases.
- Systems & Network Architecture: Strong understanding of network protocols, packet analysis, and cyber data structure formats.
- DevOps & Engineering Practices: Practical experience using version control (Git), containerization (Docker), and automated testing/deployment environments.