Senior Data Engineer

Job not on LinkedIn

🕒 May 25

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Amazon Redshift

AWS

Azure

Cloud

ETL

Informatica

Oracle

Python

Scala

SQL

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Logo of CAMP Systems International, Inc.

CAMP Systems International, Inc.

501 - 1000 employees

Founded 1968

🚀 Aerospace

☁️ SaaS

🤝 B2B

💰 Debt financing on 2016-09

Aerospace • SaaS • B2B

CAMP Systems International, Inc. is a provider of aircraft health and maintenance management solutions for commercial and private aviation operators. The company delivers web and mobile SaaS tools and services — including maintenance management (MTX), engine health monitoring (EHM), inventory management (IMS), and flight scheduling (FS) — together with dedicated analyst support and OEM integrations to help operators plan, track, and manage scheduled and predictive maintenance across fleets.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.

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