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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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Strong expertise in ETL tools and technologies, such as ADF, Databricks, SQL, Python, SSIS, and SSRS. Strong expertise in ETL tools and technologies, such as ADF, Databricks, SQL, Python, SSIS, and SSRS.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
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Strong proficiency with Azure cloud services including Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Databricks preferred. Design and implement highly scalable data ingestion and processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Must have 1 year of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks. Databricks, or Azure Synapse Analytics. Must have 1 year of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks.
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Extensive experience in and comprehension of analytics technologies such as Azure OpenAI, SQL Server, Azure Synapse,Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, Power Apps, etc.
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Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery. Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery. Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch.
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Willingness to do Certification in Databricks Certified Developer: Apache Spark 3. Willingness to do Certification in Databricks Certified Developer: Apache Spark 3. Knowledge in Kafka, Pig, MapReduce, HBase, Sqoop, Solr is a plus.
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Provide expertise, guidance, and oversight to programming standards for the Java programming language, SQL databases, Databricks, Snowflake data platform, and Looker analytics platform. Provide expertise, guidance, and oversight to programming standards for the Java programming language, SQL databases, Databricks, Snowflake data platform, and Looker analytics platform.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark.
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Significant hands-on experience with Databricks and Snowflake. Significant hands-on experience with Databricks and Snowflake. Strong expertise in Java programming language, SQL databases, Snowflake data platform, SAP systems, and Looker analytics platform, with a deep understanding of reporting and analytics concepts and tools.
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Possesses a robust technical acumen, exhibiting a strong understanding of data management and analytics technologies, tools, and platforms (e.g., Cloud, Databricks, data integrations, security, infrastructure.
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Experience with Databricks and Snowflake. Experience with Databricks and Snowflake. Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc. Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc.
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Experience working with cloud data engineering stacks (specifically Azure) and tools (Microsoft Fabric, Data Lake, Synapse, Azure Data Factory, Databricks, Informatica, etc.) Experience working with cloud data engineering stacks (specifically Azure) and tools (Microsoft Fabric, Data Lake, Synapse, Azure Data Factory, Databricks, Informatica, etc.
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databricks job Company: 7 Eleven in Irving, TX
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