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Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Datawarehousing including SQL DW, Snowflake, Databricks, Redshift, Big Query. Modern Data storage technologies such as Azure DataLake, Databricks and AWS S3. Be responsible for designing, developing and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects in Snowflake, combined with other cloud technologies.
$150RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years as an Enterprise Data Architect. Experience or understand of data pipelines and transformations leveraging python and spark/pyspark. 5+ years’ experience working with large complex enterprise accounts architecting cloud solutions for data estate workloads ( DW/ETL/BI projects preferred.
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4) 3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. 2) 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
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Big Data development experience using Hadoop with any of the following: Hive, BigQuery, SQL, Impala OR Spark 5. Designing, creating, coding, and supporting an ETL solution, including at least one of the following: Talend Studio, Kafka, Jira, SAP Data Services, SAP or HANA. 6.
$129,147 - $174,600 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. & data visualization software (Power BI, Adobe Analytics, Excel, etc.
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Experience with big data programming languages and ETL technologies (i.e. Python, SQL, AWS Athena, Alteryx, Tableau Prep etc.) Snowflake, AWS) Experience with order processing flows, warehousing equipment and software, data-science, and performance analytics.
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Data engineering experience using Big Data Technologies: Apache Spark and Hadoop; Participating in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
$116,280 - $150,480 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2) 3 years of experience in the past 4 years in working with Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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big data jobs in Minneapolis, MN
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