Senior Data Engineer

Job Title:Sr. Data Engineer

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.

• 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.

• 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.

• Experience with AI and machine learning applications.

• Understanding of containerization technologies like Docker.

• Knowledge of CI/CD pipelines and DevOps practices.

• 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.

Originally posted on Himalayas