Senior Data Engineer at CAMP Systems | Jobyssey

This is a remote position.

Job Title: Sr. Data Engineer

Location: Remote

Type: Full-Time

Experience Level: Senior-Level (8-10 years)

About Us:

CAMP Systems is a global leader in delivering innovative technology solutions that have transformed the Aviation Industry for the past few decades. Building on our legacy of innovation, we've launched our AI Solutions division to pioneer the next generation of intelligent applications.

Our new AI Solutions division combines CAMP Systems' deep industry expertise with cutting-edge artificial intelligence to create transformative products for our customers. We're building a diverse portfolio of AI solutions that address complex industry challenges while setting new standards for innovation in the aviation Industry.

Our team unites self-motivated professionals who thrive on solving difficult problems and pushing technological boundaries. As a member of the core team, you'll have the unique opportunity to shape both our product roadmap and team culture, while working with the latest AI technologies.

Job Description:

We are seeking a talented and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have 8-10 years of experience in building production-quality data pipelines utilizing data extraction tools such as Talend, Informatica, and data warehouse platforms such as Snowflake and Redshift. Strong experience with relational databases (such as Oracle), data modeling, and SQL is required.

Key Responsibilities:

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.

Required Skills/Qualifications:

8-10 years of experience in building and maintaining ETL/ELT data pipelines using tools such as Informatica, Pentaho Data Integration, or other third-party tools.
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.

Desirable Skills:

Experience with AI and machine learning applications.
Understanding of containerization technologies like Docker.
Knowledge of CI/CD pipelines and DevOps practices.

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.

Explore more jobs