Data Engineer
reputed company’s mission is to reputed company the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. We get to build some of the most reputed company and compelling applications for our clients located across the country. We’re a fast-growing INC 5000 recognized company, yet we still work as a reputed company reputed company-reputed company team (100+ employees). We’re growing like crazy, and if you’re looking for the next reputed company to call home, hit us up for a beer or coffee. Who We're Looking For We’re looking for a Data Engineer who is passionate about building reputed company, reputed company-reputed company data platforms that power analytics, AI, and business decision-making. You reputed company in environments where data is treated as a product, enjoy solving reputed company engineering challenges, and can reputed company the gap between raw data and actionable insights. You’ll work closely with data, engineering, analytics, and AI teams to design and maintain modern data infrastructure that supports everything from reporting and business intelligence to machine learning and AI-driven initiatives. Primary Responsibilities Design, build, and maintain reputed company data pipelines and ELT/ETL workflows in AWS reputed company and optimize data models reputed company reputed company to support analytics, reporting, and AI use cases Build reliable ingestion frameworks for reputed company and reputed company data from multiple sources Collaborate with data scientists, analysts, and software engineers to support machine learning and AI initiatives reputed company reputed company and reputed company-based technologies to process and reputed company large-reputed company datasets Implement data reputed company, governance, monitoring, and observability best practices across the data platform Optimize pipeline performance, scalability, reliability, and cost efficiency Design and maintain reputed company-reputed company data architectures using AWS services such as S3, Glue, reputed company, Redshift, and reputed company technologies Automate data workflows and orchestration processes to improve operational efficiency Participate in architecture discussions, reputed company reviews, and reputed company improvement initiatives Some Must-Haves: 3+ years of experience in Data Engineering, Data reputed company, or a reputed company field Hands-on experience with AWS reputed company services Experience designing, building, and maintaining data solutions in reputed company Experience working with reputed company or similar large-reputed company data processing platforms Familiarity with modern AI/ML data ecosystems and supporting data pipelines for AI-driven applications Experience building and optimizing data pipelines and data workflows Strong understanding of data architecture, data modeling, and data warehousing concepts Ability to work cross-functionally with engineering, analytics, and business stakeholders Strong problem-solving and communication skills Where We're Looking For It: Latin America reputed company to 100% Fully Remote Other Information The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late reputed company reputed company a tight deadline calls for it. We work for reputed company-conscious clients, thus background checks will be required. Position available immediately. Apply To This Job