Data Engineer
3 weeks ago
Role as a Data engineer :
- Develop and build AI/ML model ready data ponds using Azure Databricks Delta lake
- Improve upon the data ingestion models, ETL jobs, and alarm to maintain data integrity and data availability.
- Partner with AI/ML product teams proactively identify the data needs for rapid experimentation, stable production deployment and ensure the required data availability by collaborating with Product teams.
- Leverage domain knowledge, suggest optimal path to secure the data required for AI/ML model experimentation and future ML Ops
- Write complex and efficient queries to transform conventional data sources into easily accessible models
- Knowledge of data management fundamentals and data storage principles
- Continuously explore the advances big data technologies and advocate the related innovations across the digital organization
Required Qualifications :
- 5 + Years' hands on experience in data engineering
- Experience working with Databricks and Apache Spark/PySpark
- Experience with cloud-based data services, including data pipeline orchestration tooling (i.e.Azure Data Factory).
- Proficiency with complex SQL development
- Experience in modern DevOps practices (including Git, CI/CD)
- Experience in Data Modeling.
- Strong business acumen and adaptability to partner with the AI/ML product teams on innovative solutions to constantly changing business requirements
- Any ETL experience in design, mapping and configuration in a complex environment processing large volumes of data
- BS Degree in STEM or Computer Science
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