Data Engineer
Hybrid · Bogotá, Bogota D.C., Colombia
Job Summary
Senior Data Engineer to design, build, and optimize scalable cloud-based data pipelines within an AWS ecosystem. Lead the design and development efforts, mentor junior/mid-level engineers, and drive best practices in pipeline architecture, data modeling, and AI-assisted software development. Responsibilities include building ETL/ELT pipelines, optimizing ingestion/transformation/enrichment workflows, implementing CDC patterns, integrating external data sources, collaborating with architects and stakeholders, ensuring data quality and operational excellence, participating in architecture discussions and code reviews, and leveraging AI-assisted development tools. Proficiency in AWS services (Glue, S3, Athena, Step Functions) and Python/PySpark is required, along with experience in scalable data architectures, Agile environments, and data engineering leadership.
Required Qualifications
- Senior Data Engineer with strong hands-on engineering and leadership
- Experience with AWS services: AWS Glue, Amazon S3, Amazon Athena, AWS Step Functions
- Advanced proficiency in Python and PySpark
- Strong experience designing scalable data pipeline architectures
- Hands-on experience implementing CDC (Change Data Capture) patterns
- Solid understanding of data modeling and large-scale data processing
- Experience leading technical initiatives and mentoring engineering teams
- Experience working within Agile environments
- Familiarity with AI-assisted development workflows and engineering productivity tools
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