Requeriments
Must Have
- 5+ years of experience in data engineering.
- Strong Python development skills.
- Solid experience with Apache Spark and PySpark.
- Advanced, hands-on production experience with Azure Databricks, including Delta Lake, Unity Catalog, Workflows/Jobs, ADLS Gen2, and Azure Data Factory.
- Strong SQL and data modeling skills.
- Proven experience building, testing, deploying, and troubleshooting production ETL/ELT pipelines.
- Experience with Git-based version control and CI/CD pipelines, such as Azure DevOps.
- Experience integrating REST APIs for data ingestion, including authentication, pagination, and error handling.
- Experience writing automated tests for data pipelines.
- Strong understanding of data quality, reliability, and data engineering best practices.
- Strong analytical, problem-solving, communication, and collaboration skills, with the ability to evaluate unfamiliar codebases, identify trade-offs, challenge assumptions, and recommend practical improvements.
Funciones
As a Senior Data Engineer, you'll design, build, modernize, and operate scalable data pipelines using Python, Apache Spark, PySpark, and Azure Databricks. You'll take ownership of production data workflows, improve system reliability, and collaborate with technical and business teams to deliver robust data solutions.
- Design, build, and maintain scalable data pipelines using Python, Apache Spark, PySpark, and Azure Databricks.
- Modernize legacy data processing workloads and migrate them to secure, cloud-native platforms.
- Build batch ingestion pipelines for structured and unstructured data.
- Integrate data from REST APIs, SharePoint, document repositories, enterprise applications, and cloud platforms.
- Implement data quality controls, monitoring, observability, and operational safeguards.
- Optimize pipelines for performance, scalability, reliability, and cost efficiency.
- Develop document extraction, classification, metadata enrichment, and automation workflows.
- Apply software engineering practices, including Git, CI/CD, automated testing, and code reviews.
- Deploy, troubleshoot, and maintain production ETL/ELT pipelines.
- Collaborate with architects, developers, business subject matter experts, and platform teams.
- Analyze existing codebases, identify technical risks and trade-offs, and propose practical improvements.
- Use AI-assisted development tools to support data pipeline development, testing, and maintenance.
Deseable
- Experience modernizing legacy data pipelines.
- Experience with document processing, intelligent document extraction, or unstructured data.
- Familiarity with AI-assisted development tools such as Codex, GitHub Copilot, or similar.
- Experience with streaming data pipelines or large-scale data repositories.
Beneficios
At Devsu, we strive to create an environment where you can thrive both personally and professionally. By joining our team, you'll enjoy:
- A stable, long-term contract with opportunities for professional growth.
- Private health insurance.
- Ongoing training, mentorship, and learning opportunities to help you stay at the forefront of the industry.
- Free access to AI training resources and cutting-edge AI tools to enhance your daily work.
- Flexible paid time off (PTO) in addition to paid holidays.
- Challenging, world-class software projects for clients across the United States and Latin America.
- The opportunity to collaborate with talented software engineers across Latin America and the United States in a diverse work environment.
Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.