Data Analytics & Management, SrAssc
Tasks
- Build and operate batch and streaming pipelines
- Build and publish semantic layer data models
- Capture data lineage
- Develop data product interfaces with SLAs documentation and versioning
- Ensure observability and platform guardrails
- Expose governed BI endpoints and consumption APIs
- Implement Iceberg tables partitions and metadata
- Implement data validation data quality and reconciliation
- Integrate source feeds into curated analytical datasets
- Perform backfills
- Standardize deployment with CI CD and productionize jobs
- Support on call incident management and production stability
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
APIs | AWS | Apache Iceberg | Apache Spark | Azure | BI Endpoints | CI/CD | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Databricks | GCP | Informatica | Java | Python | SQL | Semantic layer | Snowflake
Education
N/A
Roles
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