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Job Description
- As a Senior Azure Databrick Developer, you will need to have a minimum of 12 years of experience to be considered for this role. Your key skills should include proficiency in Azure Databricks, Pyspark streaming, SQL, and JSON data parsing.
Your responsibilities will involve working with Azure Data Factory, Azure Databricks, Azure Synapse, and the Azure environment. You must have expertise in Spark Structured Streaming, particularly in developing streaming applications using PySpark structured streaming. This includes working with various streaming data sources such as Kafka, Kinesis, Event Hub, and others. Additionally, you should be proficient in reading and parsing JSON data.
Experience in developing batch applications using PySpark is essential. You will be responsible for maintaining data lake and pipeline processes, troubleshooting issues, performance tuning, and enhancing data quality. Creating high-quality technical documents such as data mapping, data processes, and operational support guides will also be part of your role.
Furthermore, you will need to translate business requirements into data model design and technical solutions effectively. Exposure to Spark SQL is a must-have skill for this position.,
Skills
DeveloperJsonSqlSQLAzure Data FactoryJSON Data ParsingAzure SynapseAzure DatabricksKinesisPySparkEvent HubSpark Structured StreamingPyspark StreamingSpark SQLKafkaIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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