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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Possesses strong hands-on development experience and deep technical expertise in Artificial Intelligence and Machine Learning, Advanced Analytics platforms, Digital Platforms, IoT, Augmented Reality/Virtual Reality, and Blockchain platforms.
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Manage a global Network Security Engineering platform responsible for the designing, building and running a global footprint of network security infrastructure in a 24x7 high availability environment, including on-premises and cloud-based network security.
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Hands-on production experience with orchestration systems such as Airflow. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. 5+ years of data engineering experience developing large data pipelines.
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Demonstrate hands-on Data Cloud product knowledge by applying platform features and functions to customer business priorities and roadmap. The Consumption Lead, Data Cloud, demonstrates deep business, industry, and product knowledge to partner with customers, guiding them to accelerate Data Cloud consumption and return on investment with Salesforce.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Collaborate directly with product management, marketing, design, data science, and data engineering on building out new product features. The ideal candidate has at least a few years of experience in full stack engineering in an AWS cloud environment, with hands-on experience end-to-end.
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5+ years in data engineering, focusing on managing large-scale environments and building complex data workflow s. Data Lakes: Hands-on experience with Data Lake/Delta Lake.
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Must Have Technical/Functional Skills Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), Snowflake, Matillion, CICD, basic software engineering, data engineering, etc.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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The Financial and Quantitative Engineering Principle - VP will lead one of our AIFE agile teams by through the phases of use-case identification, fundamental and quantitative analysis, data exploration, model specification, design, implementation, validation, and support integration and deployment of the resulting model services into production.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Openness to learn and stay up to date on the latest trends and technologies in data engineering, particularly within the GCP and Snowflake ecosystem. Proficient in data engineering concepts including data modeling, data warehousing, data orchestration (e.g., Airflow), monitoring/observability, and data governance.
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Experience in engineering data warehouses/data lakes (Snowflake, BigQuery, Redshift). 5+ years of experience with data engineering/modeling, consulting/training skills, information security, data governance, architecture strategy development, and executive communication.
$315,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 5+ years of hands-on work in the field of software development.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
hands on data engineering jobs Title: architect lead data Company: Guardian Life Insurance in Columbia, Missouri
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