Senior Data Engineer
PLN 220K-336K (estimate) Senior-level Full Time
Tasks
- Define and enforce platform standards
- Design and build cloud-native data platforms
- Develop self-service tooling and microservices
- Drive adoption of AI tooling and agentic workflows
- Ensure data quality, observability, and reliability
- Implement code quality testing and CI CD
- Implement near real time ingestion pipelines
- Refactor and optimize Spark and PySpark scripts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Atlas | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | CI/CD | DBT | Data Contracts | Data Factory | Data Governance | Data Lake | Data Modeling | Data Quality | Data Vault | Data Warehousing | Databricks | Dimensional Modeling | ELT | ETL | GCP | LLM integration | Lakehouse | MLflow | Medallion Architecture | Observability | PySpark | Python | RAG | SQL | Snowflake | Spark Structured Streaming | Structured Streaming | Terraform | Unity Catalog
Education
N/A
Roles
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