Data Engineer–Databricks--North Quincy, MA--NO GC's--Onsite role
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LinkedIn ID - linkedin.com/in/akash-goyal-4470551a0
Role: Data Engineer – Data bricks
NO GC's
Descriptions: Data Engineer – Data bricks Must have at least 8+ years of extensive Data Engineering Experience in Databricks, ETL/ELT using Data pipelines, SQL/Procedure experience. Must have 8+ Years of hands-on development proficiency in implementing Databricks solutions using Scala and Spark with Data frames and Notebooks/SQL Must have 8+ Years of hands-on development and performance tuning/enhancement experience in Scala/PySpark and SQL. Must have 8+ Years of hands-on development experience in working on Azure Cloud. Must have strong experience with Databricks, including developing and optimizing Spark jobs, data transformations, and data processing workflows. Must have experience and a good understanding on the below topics Databricks Delta Lake storage Unity Catalog Autoloader Lakehouse Architecture Medallion Architecture Databricks Serverless Options. Dataset and Data frame Databricks Clusters Configuration and Sizing Databricks Job Orchestration Spark Structured Streaming Must have experience with complex and large volume data streaming and data transformations using Azure Databricks. Must have extensive experience in Datawarehouse/Data Lakehouse implementations. Must have experience with monitoring, debugging, and resolving issues in live Databricks jobs. Must have strong hands-on expertise in troubleshooting DevOps pipelines, Azure, and AKS services The candidate should be able to provide Data Ingestion, Streaming and Transformations solutions and do development work.