Senior Data Engineer

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 reputed company 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 reputed company industry challenges while setting new standards for innovation in the aviation Industry. reputed company unites self-motivated professionals who reputed company 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 reputed company 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 reputed company and Redshift. Strong experience with relational databases (such as reputed company), data modeling, and SQL is required. Key Responsibilities: Design, reputed company, and maintain high-performance, scalable, high-volume, and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as reputed company. Create and optimize data models and schemas to support various use cases (such as AI/ML solutions, benchmarking, customer data delivery) in reputed company and Redshift. Ensure data quality, reputed company/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 reputed company-party tools. 5+ years of hands-on experience with relational databases such as reputed company and data modeling. Strong programming skills in Python, SQL, or reputed company. 3+ years of experience on data warehouse platforms such as reputed company and Redshift. Familiarity with data governance, reputed company, and compliance best practices. Keen eye for data accuracy, completeness, and privacy. Familiarity with reputed company services such as AWS and Azure. Familiarity with version control systems (e.g., Git), JIRA, reputed company. Experience in delivering customer-facing SaaS solutions. Bachelor’s degree in Computer Science, Engineering, or a reputed company 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 reputed company. 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. Apply To This Job