Data Engineer

4 weeks ago


Huntsville, United States SSi People Full time

Title: Data Engineer III

Duration: 6+ months contract with further chances of extension

Locations: Kent, WA/ Merritt Island, FL/Huntsville, AL(Hybrid ; 3 days in a week)


#W2 contract


Responsibilities:

  • Federate Data Ingestion and Curation: Streamline data ingestion and curation on the Palantir Foundry platform for efficiency and scalability.
  • Hydrate Ontology: Develop and maintain ontology to understand structured data landscapes.
  • Define Data Pipeline Standards: Set standards for data pipelines focusing on quality, RBAC, and classification.
  • Develop Data Patterns and Standards: Create patterns and standards for CDC, incremental loads, and real-time streaming.
  • Lead Ontology Build: Oversee ontology construction to address aerospace manufacturing data needs.
  • Mentor Data Engineers: Guide and mentor data engineers on standards, patterns, and DataOps practices.
  • Accelerate Delivery and Self-Service: Speed up data pipeline delivery and promote self-service for faster decision-making.
  • DevOps Practices: Implement DevOps practices for continuous integration, delivery, and automated testing.
  • Monitoring and Observability: Establish monitoring frameworks for proactive issue detection and high service availability


Technology Stack Experience:

  • Programming Languages - Python, PySpark, Java, SQL
  • Databases - Postgres, Oracle
  • Cloud Services – AWS, Azure, GCP (storage, compute, databases, catalogs, streaming, replication, Queueing & Notification, Logging & Monitoring service) – any one of the cloud platforms is good but AWS is preferred.
  • Big Data Frameworks
  • Metadata Catalogs – DataHub, Informatica, Collibra (experience in any one is good)
  • Data Quality Platforms – Anomolo, Informatica, BigEye (experience in any one is good)
  • Event Platforms – Kafka, MSK
  • Data Platforms – Palantir Foundry, Databricks, Snowflake (experience in any one is good but Foundry experience will be a bonus)


Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 5-8 years required in the data engineering & data management with a strong focus on data platforms like Databricks, Snowflake or Palantir Foundry
  • Extensive knowledge of data ingestion, ETL processes, and data modeling.


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