Senior Data Engineer (ADB, Spark)
Bulgaria, Georgia, Poland, Romania, Uzbekistan
USD 130K-170K (estimate) Senior-level Full Time
Tasks
- Build PySpark jobs on Databricks
- Conduct code reviews
- Create and maintain technical documentation
- Define best practices and coding standards
- Develop and maintain Spark applications
- Handle columnar data formats such as Parquet
- Implement data processing and transformation workflows
- Migrate SQL stored procedures to Spark SQL or PySpark
- Optimize spark performance
- Troubleshoot technical issues and ensure reliability
Perks/Benefits
- Hybrid or remote flexibility
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Referral bonuses
- Sports compensation
- Team events and local benefits
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
Azure Blob | Azure Blob Storage | Azure Cloud | Azure Data | Azure Data Lake | Azure SQL | Azure Service | Azure Service Bus | Blob Storage | Data Lake | Databricks | Delta Lake | Docker | FastAPI | Kubernetes | Langchain | Langgraph | Microservices Architecture | MongoDB | Multi-Modal | Multi-Modal LLMs | Pandas | Parquet | Polars | PySpark | Python | RAG | Redis | SQL | Service Bus | Spark | Spark SQL
Education
N/A
Roles
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