Data Analytics & Management, SrAssc
Tasks
- Build scalable batch and streaming pipelines
- Create logical and physical data models for analytical workloads
- Create semantic layer data models for analytics
- Define data product interfaces and ensure backward compatibility
- Expose curated datasets via governed BI endpoints and APIs
- Implement Iceberg tables partitions and metadata
- Implement automated data validation and data quality rules
- Integrate source feeds into curated datasets
- Perform production on call major incident management and backfills
- Standardize deployment using CI CD and observability
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
API Development | AWS | Apache Spark | Azure | CI/CD | Cloud platform | Data Lineage | Data Modeling | Data Quality | Data Validation | Databricks | Google Cloud | Google Cloud Platform | Iceberg | Informatica | Java | Python | Reconciliation | SQL | Semantic Modeling | Snowflake
Education
N/A
Roles
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