Senior Data Engineer

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CAMP Systems International, Inc.

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501 - 1000 employés

Fondée en 1968

💼 Conseil

📦 Logistique

🏥 Santé

💰 Debt financing en 2016-09

Consulting • Logistics • Healthcare

CAMP Systems International, Inc. est un fournisseur de solutions de gestion de la santé et de la maintenance des aéronefs pour les opérateurs d'aviation commerciale et privée. L'entreprise propose des outils et services SaaS web et mobiles - y compris la gestion de la maintenance (MTX), la surveillance de l'état des moteurs (EHM), la gestion des stocks (IMS) et la planification des vols (FS) - associés à un soutien analytique dédié et des intégrations OEM pour aider les opérateurs à planifier, suivre et gérer la maintenance programmée et prédictive sur l'ensemble des flottes.

Description

• Design, develop, and maintain high-performance, scalable, high-volume, and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as Oracle. • Create and optimize data models and schemas to support various use cases (such as AI/ML solutions, benchmarking, customer data delivery) in Snowflake and Redshift. • Ensure data quality, integrity/completeness, and governance by implementing best practices for monitoring and validation. • Build automated monitoring and alerting mechanisms. • Collaborate with cross-functional teams to understand data requirements to support business objectives. • Stay up to date with emerging trends and technologies in data engineering.

🎯 Exigences

• 8-10 years of experience in building production-quality data pipelines using data extraction tools such as Talend, Informatica, and data warehouse platforms such as Snowflake and Redshift. • 5+ years of hands-on experience with relational databases such as Oracle and data modeling. • Strong programming skills in Python, SQL, or Scala. • 3+ years of experience on data warehouse platforms such as Snowflake and Redshift. • Familiarity with data governance, security, and compliance best practices. • Keen eye for data accuracy, completeness, and privacy. • Familiarity with cloud services such as AWS and Azure. • Familiarity with version control systems (e.g., Git), JIRA, Confluence. • Experience in delivering customer-facing SaaS solutions. • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • Strong problem-solving skills and the ability to optimize data processing workflows. • Excellent verbal and written communication and teamwork skills.

🏖️ Avantages

• Competitive salary and benefits package. • Opportunity to work on cutting-edge technologies and innovative projects. • Collaborative and inclusive work environment. • Professional development and growth opportunities.