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Strong proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and Azure Data Lake Storage. Design, develop, and maintain data pipelines and ETL processes on Azure using services such as Azure Data Factory, Azure Databricks, and Azure SQL Data Warehouse.
$120,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analysis, Design, development, support and Enhancements of ETL/ELT in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 8-9 years’ experience in Hadoop, MapReduce, Sqoop, Py Spark, Spark, HDFS, Hive, Impala, Stream Sets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Oracle SQL/PL-SQL, Unix commands and shell scripting.
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Strong, hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases and dashboarding tools such as Snowflake, Oracle, MySQL, Qlik, Tableau, SQL Server, etc.
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Also requires two (2) years of experience in each of the following: modeling tools and frameworks including Python, R, TensorFlow, Keras, PyTorch, Databricks and PySpark; Azure, GCP or AWS cloud infrastructure; data modeling/analytics with SQL, Snowflake and Tableau; dataanalytics for healthcare industry products or services; machine learning methods including regression, decision trees, and deep learning; and statistical modeling for business intelligence.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Familiarity with tools such as Power Automate, Alteryx, SQL Server Reporting Services, SQL Server Analysis Services, and cloud-based data platforms (AWS, Azure, Snowflake, GCP). Deep understanding of Data Visualization and storytelling using Power BI.
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Leverage technologies and languages such as Hevo, DBT, Python, SQL, Sacala, Bash and more. Familiarity with the areas and concepts in Master Data Management, Data Warehousing, Analytics, ERP, and CRM.
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Express has an exciting opportunity for a curious, motivated, forward thinking, analytical software senior data engineer to join and shape the future of the Enterprise Data team for the Enterprise Data department.
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Huntington Bank is looking for a Lead QA Test Analyst in our Enterprise Data Warehouse. Minimum 5 years of ETL testing experience in data warehouse environment. As a Lead QA Test Analyst, you will work to develop test strategies and test plans for Data Warehouse projects ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise.
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Provide support for scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Redshift, or Azure Data Warehouse/Synapse), data storage (S3 or Azure Blob Storage) and analytics platforms (i.e. Spark, Databricks, etc.
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Strong quantitative skills and proficiency in statistical programming languages such as R, Python, SAS or SQL. Experience in analyzing real-world datasets (health insurance claims data, electronic health records), alone and/or linked with other datasets (survey data and aggregated geographic datasets.
$60,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Anyone of the following certifications in SSIS, SSRS and Azure (e.g., MS Azure Developer, MS Azure Engineer, MS SQL Server Reporting, MS Azure Data Fundamentals) or a willingness to complete the certifications in the first year of employment Upon Hire.
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The Ideal Candidate The ideal candidate would bring the following: 5+ years’ experience with data platforms including GCP, Teradata, MySQL and SQL Server, Airflow. Experience with SAP, Manhattan SCORE/Warehouse management data highly desired.
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Position Description America Votes is seeking a well-organized self-starter for a full-time position as Data Director. The Data Director plays a key role in the supporting campaign strategy and direct voter contact programs for the progressive movement.
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Data Warehouse Architect. Data exploration and data visualization tools such as Looker, Tableau. Responsible for articulating and driving aspects of our ecosystems real-time stream messaging data strategy.
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