Senior Data Engineer
Job Summary
- Build and support data pipelines that ingest data from external systems
- Work with both full data loads and regular incremental updates
- Develop and maintain integrations using Java
- Help design and maintain a unified internal data model
- Ensure data quality and handle incorrect or incomplete data
- Use AIassisted tools and approaches to improve data quality detect issues and support operations when appropriate
- Ensure data pipelines are reliable wellmonitored and productionready
- Work closely with engineering and product teams on integration and data needs
Qualifications :
- At least 5 years of professional experience as a Data Engineer
- Strong production experience with Java
- Experience with at least one data processing framework such as Apache Spark Apache Beam or Apache Flink
- Experience integrating external systems via REST APIs including pagination rate limiting and tokenbased authentication
- Strong data modelling skills and experience working with structured relational data
- Solid SQL knowledge
- GCP Dataflow experience
- Experience operating data pipelines in production environments
- Strong communication skills and ability to work across teams
- English level - Upper Intermediate
NICE TO HAVE
- Experience with eventdriven architectures or messaging systems
- Experience designing canonical schemas across multiple data sources
- Experience with LLM
Additional Information :
PERSONAL PROFILE
- Proactive and detail-oriented
- Thrives in collaborative environments
- Enjoys solving complex integration challenges
- Comfortable experimenting with new technologies
- Committed to improving data systems
Remote Work :
Yes
Employment Type :
Full-time
About Company
At Sigma Software, we are involved with the clients team to contribute to the design and development of a technical solution for their tokenized domain reservation platform. We started by assigning a software architect to design the smart contracts and integrate blockchain into the s ... View more