Senior AWS Data Engineering Specialist
Tasks
- Apply DevOps practices for data platforms
- Build real-time streaming data pipelines
- Create CI/CD pipelines
- Deliver ETL and ELT pipelines
- Design scalable secure AWS data platforms
- Develop data modeling and analytics solutions
- Develop infrastructure as code and monitoring
- Implement Data Governance and Data Quality
- Lead and coach multidisciplinary data teams
- Optimize platform scalability reliability and cost
- Translate business requirements into technical solutions
Perks/Benefits
- Financial coaching
- Flexible working options
- Free coaching
- Nutrition coaching
- Paid parental leave
- Paid volunteering days
- Retail discounts
- Return to work support
- Wellbeing leave
- Wellbeing support
- Work flexiblity
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon Athena | Amazon MSK | Amazon RDS | Amazon Redshift | Amazon SageMaker | Apache Airflow | Apache Flink | Apache Kafka | CI/CD | Compliance | DBT | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehouse | Data Warehouse Design | ELT | ETL | Infrastructure as Code | Message queuing | Platform monitoring | Python | SQL | Security | Spark | Storm | Stream processing | Testing | Warehouse design | “as-code”
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Senior Data Engineer
Regions
Countries
States
Cities
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