Design and implement moderately complex ingestion pipelines that integrate with internal and external systems
Develop reusable components for data transformation, validation, and logging
Contribute to both batch and streaming ingestion flows, ensuring scalability and maintainability
Support platform observability by enhancing monitoring, alerting, and error-handling features
Participate in design discussions, code reviews, and incident investigations
Partner with data consumers to understand requirements and translate them into ingestion solutions
Improve automation and testing coverage to reduce manual effort and increase pipeline reliability.

Requirements

B.Sc. in Computer Science, Engineering, or related technical field (M.Sc. preferred)
Equivalent experience considered
2–4 years of experience as a data or software engineer, ideally working with data pipelines or distributed systems
Solid programming skills in Python, Java, or Scala, with ability to write maintainable, production-ready code
Hands-on experience with ETL/ELT pipelines, schema management, and data modeling concepts
Familiarity with streaming (e.g., Kafka, Kinesis, Spark Streaming) or batch frameworks
Understanding of CI/CD, version control, and testing practices
Exposure to observability practices such as logging, metrics, and tracing
Strong sense of accountability and eagerness to take ownership of assigned deliverables.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonJavaScalaETLELTdata modelingstreaming frameworksbatch frameworksCI/CDversion control

accountabilityownershipcommunication

B.Sc. in Computer ScienceB.Sc. in EngineeringM.Sc. in Computer ScienceM.Sc. in Engineering