Senior Data Engineer
Tasks
- Align data solutions with product engineering and analytics
- Architect data platforms
- Automate ETL and ELT
- Develop data pipelines and models
- Implement data governance, security, and compliance
- Ingest telemetry API and application data in real time
- Manage end to end data ingestion storage processing delivery
- Provision datasets for machine learning
- Tune infrastructure for performance and cost
Perks/Benefits
- Career progression
- Flexible work-life balance
- Inclusive culture
- Open holiday policy
- Professional development
- Remote work
- Volunteering support
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon Athena | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Apache Airflow | Apache Kafka | Apache Spark | Data Governance | Data Modeling | Databricks | ELT | ETL | Feature Store | GDPR | Java | Looker | MLOps | Machine Learning | Python | SOC 2 | SQL | Scala | Snowflake | Tableau | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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