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Job description
As a Data Engineer, you’ll build and maintain data pipelines, APIs, and integrations to support data-driven decision-making. You’ll leverage Python and SQL to automate data collection, transformation, and reporting processes.
Develop and maintain ETL pipelines using Python and SQL, integrate data from multiple systems and APIs, ensure data quality, consistency, and reliability across environments, collaborate with developers, analysts, and product teams on data requirements, optimize database performance and automate reporting processes.
2+ years of experience in Python development, strong SQL skills and understanding of data modeling, familiarity with REST APIs and data integration workflows, problem-solving mindset and attention to detail, strong communication and teamwork skills.
Company
Tech, Software & IT Services
Primeforge builds specialized, high-impact development teams sourced from emerging markets, enabling software leaders to innovate and scale efficiently. They offer web and mobile app development, QA and test engineering, CMS integration, staff augmentation, and outsourcing services. Primeforge's model delivers top-quality talent at lower cost while mitigating retention challenges. The company focuses on rapid, reliable team assembly and a deep pipeline of vetted professionals. Its distinctive value lies in combining market expertise with a scalable, flexible delivery framework that reduces overhead for client organizations.
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