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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Experience in ETL, SQL, Informatica, Power exchange, Databases like SQL server, DB2, Oracle.
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Experience with other technologies Microsoft BI Stack, Microsoft Power Platform, SAP ECC, SAP BW & Business Objects, SQL Server, SSRS, Databricks, SAS, Hadoop, Tableau. As the Principal Data Engineer in ACE, your role is to help create and communicate the data platform strategic direction, architect tools and platforms for all three ACE departments (Data Engineering, Data Visualization, and Data Science), implement and reinforce best practices, support and advise fellow data professionals, and architect complex data solutions.
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Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Collaborate seamlessly across technical stacks, with a strong focus on Databricks, SQL Server, and Azure.
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Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning, Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse. Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning , Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse.
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Experience with ETL Tools (SSIS, Informatica, Ab Initio, Talend), Python, Databricks, Microsoft SQL Server Platform (version 2012 or later), and/or working in an Agile environment.
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Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. We are currently seeking a Databricks Engineer to join our team remotely in the United States.
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8+ years of experience with coding languages such as Python, SQL, and PySpark, with a focus on performance, security, scalability, and robust data integrations. 5+ years of experience working with Databricks in Azure Cloud.
$251,094 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines.
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Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers.
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The files will be loaded into an Azure SQL server database using an SFTP server, then integrated with PowerBI for reporting using SSIS and Databricks for integration and data manipulation.
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Experience with Microsoft Azure Data Integration Stack and related cloud services (Azure Data Lake Gen2, Azure Data Factory, SSIS, Azure SQL Server) Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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2+ years of experience building highly scalable data solutions using Snowflake, Hadoop, Spark, Databricks. 5+ years of experience programming in SQL queries, stored procedures, query optimization performance tuning (Microsoft SQL Server, PostgreSQL or Oracle.
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This includes but is not limited to Azure databases, Azure Machine Learning, Azure Data Services, Azure Databricks, and Azure Synapse Analytics along with On Prem implementations of SQL Server etc.
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Experience designing and implementing analysis solutions on Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or Spark based platforms such as Databricks.
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databricks hadoop sql server data engineer jobs
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