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Minimum of 2 years experience with sourcing data for Analytics use cases from ECC or any legacy sources to the target S/4 HANA or Data Warehousing solutions (Snowflake, Databricks etc.) Minimum of 2 years experience with sourcing data for Analytics use cases from ECC or any legacy sources to the target S/4 HANA or Data Warehousing solutions (Snowflake, Databricks etc.
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2+ years of data warehousing experience with technologies like Redshift, Databricks, Synapse, Snowflake. 2+ years of data warehousing experience with technologies like Redshift, Databricks, Synapse, Snowflake.
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Experience with Databricks, implementing Databricks. Building pipelines using Databricks. Experience with Databricks, implementing Databricks. Building pipelines using Databricks. Experience with Natural Language Processing (NLP.
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Design and maintain data pipelines using Azure Data Lake, Azure Synapse, Databricks, and Spark. Design and maintain data pipelines using Azure Data Lake, Azure Synapse, Databricks, and Spark. This position is based in Austin, Texas, but remote work is available.
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Databricks, Data Lakehouse architecture, modern data pipelines experience a plus. Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Applicants should also have an understanding of software and tools including big data tools like Kafka, Spark; workflow management tools such as Airflow.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge and experience working with Spark or Databricks is a plus. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions.
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And experience with large-scale, big data methods, such as MapReduce, Hadoop, Spark, Hive and SAAS model platforms like Databricks, Cloudera, etc. Working understanding of big data systems (preferably Databricks) and the associated concepts: Delta, Parquet, Spark (PySpark), DB SQL, Notebooks, Cluster/Design Management.
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Should have experience with Azure Storage/Data Lake, Azure Data Factory, Azure Databricks, Data processing languages SQL and Python or, Data Wrangling, Azure Synapse, and S/4 data structure, preferred.
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The ideal candidate will exhibit a comprehensive understanding of Data Lake concepts, demonstrating proficiency in data modeling within Azure Data Lake Storage (ADLS) and hands-on experience with Databricks, including Autoloader and Cluster Management.
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Experience in Azure Data Lake including ADF/Databricks. Experience in Azure Data Lake including ADF/Databricks. Practical experience of using version control systems (Azure Repo preferred). We are Microsoft, Oracle, Snowflake, Confluent, Informatica partners as well.
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Well versed in technology stacksincluding: Google BigQuery, DataProc, Looker, Looker Studio, Sheets; AWSRedshift, Athena, Quicksight, Sagemaker, Databricks, Snowflake, and Microsoft SQL Server,Azure, and Synapse.
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Database, datalake knowledge – Postgres, Oracle, Databricks, Snowflake. Database, datalake knowledge – Postgres, Oracle, Databricks, Snowflake. Implements development and SRE teams efforts in building Cloud Native applications by incorporating Cloud Security and Microservices Security best practices and industry standards.
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MS Azure skills preferred including intermediate skills in Data Factory, Databricks, Synapse Analytics, Power BI or equivalent. MS Azure skills preferred including intermediate skills in Data Factory, Databricks, Synapse Analytics, Power BI or equivalent.
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We are looking for a talented individual to define and lead customer success focused field initiatives for Workload Optimization including knowledge supported workloads such as Databricks, and/or optimization through our Developer Tool Kits for low level code.
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databricks job in Oklahoma City, OK
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