Data Engineer
Tasks
- Build and maintain ETL/ELT pipelines
- Convert business requirements into data models metrics KPIs and transformation rules
- Design curated datasets data marts and semantic layers
- Develop production notebooks and workflows
- Document data models lineage and dataset logic
- Implement data validation schema enforcement and quality checks
- Monitor data pipeline health and quality
- Optimize Spark performance and reliability
- Optimize transformations and storage for scale and cost
- Tune and maintain PostgreSQL databases
Perks/Benefits
- Flexible work schedule
- Health and wellbeing insurance
- Meal vouchers
- Paid special leave
- Remote working allowance
- Remote working equipment package
Skills/Tech-stack
AWS CloudWatch | AWS Lambda | AWS Step Functions | Agile | CI/CD | Data Marts | Data Modeling | Data Quality | Data Validation | Databricks | Datadog | Delta Lake | Medallion Architecture | PostgreSQL | PySpark | Python | SQL | Schema Enforcement | Semantic layer | Spark SQL | Step Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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