Data Engineer
hace 2 semanas
Senior Data Engineer
Join SpaceDev and be part of a cutting-edge team driving innovation in data engineering We are looking for a Senior Data Engineer to design and build scalable data solutions that power AI-driven insights. If you are passionate about cloud-based data architectures and thrive in a collaborative environment, this is your opportunity to make a real impact.Key Responsibilities
- Design, develop, and maintain highly scalable data engineering solutions using AWS services.
- Build and optimize ETL/ELT pipelines, ensuring data quality and reliability.
- Ingest and transform structured, semi-structured, and unstructured data from multiple sources.
- Develop proprietary algorithms to tackle complex data challenges.
- Implement and optimize customer data ingestion and model deployment processes.
- Collaborate with data scientists, engineers, and product teams to develop AI-driven solutions.
- Leverage cloud provider AI services and best practices for ML workflows.
- Monitor workflow performance, reliability, and meet SLA targets.
- Automate processes using scripting, CI/CD, and infrastructure-as-code tools.
- Troubleshoot and solve complex data engineering challenges.
- 5+ years of experience with Python and Scala for data engineering and ETL.
- 5+ years of experience with data pipeline tools (e.g., Informatica, Spark, Spark SQL), DAG orchestration, and workflow management tools (e.g., Airflow, AWS Step Functions).
- 5+ years of experience working with AWS or GCP cloud ecosystems.
- 3+ years of experience using Cloud AI services.
- 3+ years of experience with Kubernetes and large-scale applications.
- 3+ years of hands-on experience developing ETL solutions with AWS services (S3, IAM, Lambda, RDS, Redshift, Glue, SQS, EKS, ECR).
- Strong expertise in SQL programming and writing complex queries.
- Experience with distributed computing tools (e.g., Spark, Hive).
- Proficiency in software engineering best practices, including version control (Git), CI/CD (Jenkins, GitLab CI/CD, GitHub Actions), and DevOps.
- Experience with containers and orchestration (Docker, Kubernetes, Helm).
- Ability to work in a fast-paced agile environment.
- AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps).
- Knowledge of commercial claims management systems.
Space Perks
- 20 vacation days + 3 extra days off per year to recharge
- Access to Udemy courses and the ability to propose new learning tracks
- English classes for all levels
- Work-life balance with our flexible work culture
- Special days off for birthdays and significant occasions
- Team trips: Participate in tech events and team-building experiences
- Performance and inflation adjustments (1-2 times a year)
- Remote-first with offices in Montevideo, Medellín, Buenos Aires, and coworking options globally.
Ready to take your data engineering expertise to the next level? Apply now and be part of our journey at SpaceDev
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