Senior Data Engineer
Tasks
- Build ETL pipelines
- Collaborate with data scientists and analysts
- Design data models for analytics
- Design data pipelines
- Ensure data infrastructure availability and performance
- Implement data governance policies
- Ingest large complex data
- Maintain data pipelines
- Maintain data storage and databases
- Mentor junior team members
- Monitor data quality
- Troubleshoot data pipeline issues
Perks/Benefits
- Annual leave
- Clear career development opportunities
- Employee recognition rewards
- Employee referral scheme
- Flexible working hours
- Floating bank holidays
- Health care package
- Industry-recognized training
- Length of service awards
- Life and health insurance
- Meal vouchers
- Paid Birthday Day off
- Paid learning days
- Regular company events
- Sabbatical leave
- Work from anywhere
Skills/Tech-stack
Amazon Redshift | Apache Airflow | Apache Spark | BigQuery | Cloud platform | Data Governance | Data Modeling | Data Quality | Data Warehousing | ETL | Google Cloud | Google Cloud Platform | Hadoop | Hive | Java | MySQL | Oracle | PostgreSQL | Python | Relational databases | SQL | Scala
Education
N/A
Roles
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