| Data Engineer with Data bricks Location Boston, MA Local at Boston, Massachusetts, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2645895&uid=56fbb471238b42e694189bc61cc63fc9 From: Naresh, Savitech [email protected] Reply to: [email protected] Hi Partner , Hope youa are doing great !! JD : Title: Data Engineer with Data bricks Location: Boston, MA (Local) JD Digital : Microsoft Azure~Digital : Scala~Digital : Databricks~Digital : PySpark~PL/SQL Data Engineer - Databricks - 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. - Experience in Apache Big Data implementations with programming proficiency like PySpark, R or Java prior to Databricks is advantageous. - Good to have experience with containerization technologies such as Docker and Kubernetes. - Strong critical thinking, communication, and problem-solving skills is essential. Title: Data Engineer with Data bricks Location: Boston, MA JD Digital : Microsoft Azure~Digital : Scala~Digital : Databricks~Digital : PySpark~PL/SQL Data Engineer - Databricks - 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. - Experience in Apache Big Data implementations with programming proficiency like PySpark, R or Java prior to Databricks is advantageous. - Good to have experience with containerization technologies such as Docker and Kubernetes. - Strong critical thinking, communication, and problem-solving skills is essential. Keywords: rlang procedural language Massachusetts Data Engineer with Data bricks Location Boston, MA Local [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2645895&uid=56fbb471238b42e694189bc61cc63fc9 |
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| 06:47 AM 01-Aug-25 |