Data Engineer
Tasks
- Analyze processes for data integrity
- Analyze query execution plans
- Assemble large complex datasets
- Build data marts
- Design and implement ETL/ELT workflows
- Design and operate event driven data pipelines
- Develop automated testing for data products
- Develop data integrations
- Document entities and lineage in data catalog
- Identify data platform issues
- Implement data model changes
- Implement data quality checks
- Improve data reliability, efficiency and quality
- Monitor and troubleshoot production data pipelines
- Onboard and mentor engineers
- Optimize large scale analytical workloads
- Orchestrate data pipelines
- Oversee data warehousing processes
- Propose data platform features
- Write data flow documentation
Perks/Benefits
- Corporate doctor
- Education allowance
- Employee share scheme
- Gym access
- Life insurance
- Paid time off
- Relocation support
- Top-tier health insurance
- Unlimited learning opportunities
Skills/Tech-stack
Amazon S3 | Apache Airflow | CI/CD | ClickHouse | DBT | Data Modeling | Data Warehousing | ELT | ETL | Event Driven | Event-driven architecture | Execution Plan Optimization | Git | Iceberg | Kafka | PostgreSQL | Prefect | Python | Query Execution | Query Execution Plan Optimization | Query execution plan | Relational algebra | SQL | Spark | Trino | Vertica
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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