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Deep understanding of data governance policies, implementation best practices and hands-on experience in implementing Policies as Code Architecture, design & implementation of unified data access using AWS Lake formation, AWS Data Zone, IAM, OKTA and others.
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Implement row-level security on data and understand application security layer models in Power BI. Hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, including design, development, deployment, data engineering, and data management projects and practices.
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Daily treasury operations, confirmation, and settlement experience (hands-on). Aptitude to work on everything from simple daily data entry to higher-level work ('no task is too small' attitude.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team.
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Job Description The group seeks a Student Technical Assistant to work with our engineering staff on advanced concept demonstrations in the areas of data analysis, algorithm development, software development, digital signal processing, hardware design, and flight test support.
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Grow and build a strong global software and data engineering team, focusing on attracting and hiring top talent. Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda), ETL tools [ e.g., Qlik, Fivetran, Informatica IICS], and Snowflake.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. Hands on experience developing batch and streaming data pipelines.
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Hands on experience with Customer Data Platforms such as Salesforce Data Cloud/Amperity/Action IQ/Simon Data/Segment/Adobe etc is required. Hands-on experience working with AWS Redshift/Snowflake/Teradata or similar tools.
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A Master's degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 5+ years of hands-on programming experience using healthcare data.
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4+ years of hands-on experience with cloud data warehousing technologies (Snowflake is preferred, BigQuery, AWS, Azure, SAP BW). Familiarity with Streaming using Spark or Flink or Kafka or NoSQL or relevant technologies Continuously stay up-to-date on industry trends and advancements in data engineering and analytics.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The CPM Engineering team provides engineering solutions that enable the firm to manage third-party spend, data and automation, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firm’s strategic objectives.
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This role involves applying software engineering principles to automate data infrastructure operations, encompassing the deployment of Azure Data Infrastructure and Services (Infrastructure-As-Code – IaC), administration of the enterprise data lake utilizing the Snowflake data platform, and managing security protocols.
$130,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Staff/project engineering duties including data reduction, analysis & fieldwork for commercial, industrial, retail, government, office and residential projects (both Geotechnical Engineering and Construction Materials Testing/Inspection.
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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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data engineering financial services hands on jobs Company: Dice in Bentonville, Kansas
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