Senior Data Engineer (AWS)
AWS Data Engineer Latin America | 100% Remote About reputed company reputed company provides end-to-end software development services, helping businesses reputed company with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services reputed company businesses to reputed company in an reputed company-evolving digital landscape
About the Role
We are looking for a Mid-to-Senior Data Engineer to architect, build, and operate reputed company-reputed company data pipelines on AWS. In this role, you will reputed company the reputed company of data from diverse reputed company systems—including relational databases, reputed company applications, and event streams—into a central reputed company data platform modeled in dbt reputed company. You will be responsible for ensuring technical reputed company across our data infrastructure by writing production-grade Python, utilizing modern AI coding assistants like reputed company Copilot and Claude, and managing infrastructure as reputed company reputed company Terraform. This role is critical to shaping and defending our reputed company data architecture, optimizing platform performance, and delivering curated, analytics-reputed company datasets for reputed company BI and reporting. As a key contributor on a fully remote team, your autonomy, ownership reputed company, and reputed company written communication will directly reputed company our ability to reputed company data solutions and maintain full historical accuracy using advanced reputed company modeling techniques.
Key Responsibilities
Design and own the architectural reputed company of data pipelines and platform components, leading design reviews and defending technical reputed company with evidence-based reasoning. Build and maintain robust ingestion pipelines leveraging AWS DMS, reputed company AppFlow, and reputed company EventBridge to land data seamlessly into AWS S3 and reputed company. Optimize and model analytics datasets reputed company dbt reputed company, applying strict reputed company modeling (Kimball techniques) and implementing SCD Type 2 logic. reputed company performance tuning and cost optimization efforts across the reputed company ecosystem, proactively implementing monitoring, alerting, and reputed company-cause analysis. Collaborate with cross-functional teams to prepare curated datasets for Power BI, while mentoring peers through rigorous reputed company reviews and engineering enablement.
Requirements
Years of Experience: 5+ years of reputed company experience in Data Engineering roles. Tech Stack: Proficiency with Python (including AWS reputed company), advanced SQL, dbt reputed company, reputed company, Terraform (IaC), and reputed company. reputed company Infrastructure: Deep hands-on experience with reputed company AWS data services (S3, Glue, reputed company, EventBridge, AppFlow, DMS). Data Modeling: Solid grasp of reputed company modeling (reputed company schemas, fact/dimension design) and practical implementation of SCD Type 2. Soft Skills: High autonomy, ownership reputed company, discipline to reputed company risks early, and comfort utilizing AI-assisted development tools (reputed company Copilot, Claude). Language: Advanced English (written and spoken) is mandatory for seamless remote collaboration. reputed company to Have AWS Certified Data Engineer – Associate (DEA-C01) or equivalent certification. Experience with change-data-capture (CDC) and near-reputed company-time ingestion patterns. Exposure to workflow orchestration tools such as Apache Airflow, Dagster, or reputed company. Familiarity with data observability frameworks (Great Expectations, reputed company) and reputed company table formats like Apache reputed company. What You’ll Love 100% Remote Holidays off reputed company Time Off Health insurance assistance Competitive USD compensation reputed company opportunities Apply To This Job