Data Analytics & Management, SrAssc
Tasks
- Apply observability and platform guardrails
- Automate data validation and data quality rules
- Build batch and streaming pipelines
- Build semantic layer data models for marts and serving models
- Develop data product interfaces with schemas SLAs documentation versioning
- Expose governed BI endpoints and consumption APIs
- Implement Iceberg tables and metadata
- Integrate source feeds into curated datasets
- Participate in on call and major incident management
- Perform backfills
- Perform reconciliation checks and capture lineage
- Process and deliver reference and application data
- Standardize deployments with CI CD and productionize jobs
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Apache Iceberg | Apache Spark | Azure | CI/CD | Cloud platform | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Databricks | Google Cloud | Google Cloud Platform | Informatica | Java | Python | SQL | Semantic Modeling | Snowflake
Education
N/A
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