Related skills
bigquery java bash sql python📋 Description
- Establish formal data practice for the organisation.
- Build and operate scalable, robust data architectures.
- Create pipelines for self-service data access.
- Implement DataOps practices.
- Design, develop, and operate data pipelines for data scientists and ML engineers.
- Build simple, reliable data storage, ingestion, and transformation solutions.
🎯 Requirements
- Bachelor's degree in engineering (CS / IT) or equivalent.
- 1+ years building and running data pipelines for large data.
- Experience designing, developing and operating configurable data pipelines for high volume data.
- Experience with public clouds like GCP/AWS.
- Proficient with SQL, Java, Spring Boot, Python or JVM language, Bash.
- Experience with Apache projects (Spark, Airflow, Beam) and big data DBs like BigQuery, Clickhouse.
🎁 Benefits
- Competitive benefits package
- Hybrid-friendly culture with flexible work options
- WFH and internet stipends
- Professional development reimbursement
- WiFi reimbursement and health allowance
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