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Solutions Architect
3 months ago
- Expert-level knowledge of data frameworks, data lakes and open-source projects such as Apache Spark, MLflow, and Delta Lake- Expert-level hands-on coding experience in Spark/Scala,Python or Pyspark- In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib- IoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures, pros/cons, and migration considerations.- Extensive hands-on experience implementing data migration and data processing using AWS/Azure/GCP services- 10+ years in consulting experience with minimum4+ Years of experience in data engineering, data platform and analytics,- Projects delivered with hands-on experience in development on databricks- knowledge of any one cloud platform (AWS or Azure or GCP)- Deep experience with distributed computing with spark with knowledge of spark runtime internals, Unity Catalog.- Familiarity with CI/CD for production deployments- Familiarity with optimization for performance and scalabilityCompleted data engineering professional certification and required classes