Data Developer, Data/AI/ML
Tasks
- Analyze debug and resolve data processing issues
- Automate pipeline deployment and monitoring with CI/CD
- Build and maintain data models for analytics reporting and product features
- Build data pipelines for ingestion transformation and validation
- Collaborate with product managers analysts and engineering to gather data requirements
- Define data preparation integration and storage parameters
- Develop data validation and quality assurance tests
- Ensure data availability integrity and lineage
- Evaluate and implement new data tools technologies and frameworks
- Monitor and report pipeline performance failures and data quality issues
- Optimize pipeline performance reliability and maintainability
- Validate accurate and timely data for release readiness
- Write efficient production code in Java or Python
Perks/Benefits
- Company sponsored wellness resources
- Employee travel discounts
- Hybrid work model
- Life and disability coverage
- PTO
- Paid time off
- Paid volunteer days
- Parental leave
- Retirement plans with company contributions
- Tuition support
Skills/Tech-stack
Airflow | Apache Airflow | Apache Kafka | Apache Spark | BigQuery | CI/CD | Cloud SQL | Cloud platform | DBT | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Validation | Google Cloud | Google Cloud Platform | Java | Kafka | Machine Learning | MySQL | Oracle | PostgreSQL | Python | SQL | Snowflake | Spark
Education
Roles
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