We are seeking a passionate and skilled Data Engineer to join our growing technology team. The ideal candidate has strong experience in data engineering, ETL development, and SQL, with a drive to learn and adopt new technologies.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes
- Work with streaming and CDC (Change Data Capture) systems
- Develop, optimize, and troubleshoot SQL and NoSQL databases
- Collaborate with cross-functional teams to ensure data integrity and availability
- Support data integration with enterprise systems and applications
- Stay updated with emerging trends in data engineering and modern data platforms
Requirements
- Minimum 3-5 years of work experience as Data Engineer
- Hands-on experience with SQL (3+ years)
- Proven expertise in ETL tools & frameworks such as: SSIS, Talend, Kettle, Pentaho, Debezium
- Knowledge/experience with data and streaming technologies: Kafka, Flink, Spark
- Experience with databases: PostgreSQL, Oracle Database, SQL, NoSQL, MongoDB
- Familiarity with CDC, Event-Based Streaming, GraphDB, REST API
- Basic proficiency in Python and programming fundamentals
- Strong analytical mindset and eagerness to learn new technologies
