Data Engineer

Qualifications:BSc degree in Computer Science/Information Systems/Engineering or equivalent work experience5+ years of relevant experience, including 2+ years in building and optimizing big data pipelinesRequirements:Proficiency in Python, SQL (PostgreSQL, MS SQL), and cloud services (AWS, Azure, or GCP)Strong skills in version control, CI/CD, and GitHubExperience with Palantir FoundryExpertise in managing data life cycle, large datasets, and data transformation processesExperience with Glue and PySpark is a plusKnowledge in data quality assurance, governance, and processing unstructured dataFamiliarity with message queuing and stream processingKPAs:Propose and implement process improvements for automation, scalability, and efficiencyDevelop and enhance data systems and streamline CI/CD processes for optimal data pipelinesAssemble complex data sets to meet business requirements and drive efficient ETL processesConduct unit tests and ensure data consistency while building automated monitoring solutionsSupport reporting and analytics infrastructure and uphold data quality, governance, and infrastructure maintenance (e.g., AWS, database security)Maintain metadata, data catalogues, user documentation, and apply best practices in database management (collations, engines, indicesApply now and be a key contributor in revolutionizing data infrastructure!For more IT jobs, visit