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Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
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2+ years of Experience with AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems. Innovate for data integration in Apache Spark-based Platform to ensure the technology solutions leverage cutting edge integration capabilities.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
$184,210 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have dealt with large amounts of data in production and have built distributed data processing using frameworks like Spark, Hadoop, Apache Beam, or Flink. Hands-on experience building big data processing systems.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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The ideal candidate will be responsible for designing, developing, and maintaining data processing pipelines using Apache Beam. This role requires deep expertise in data engineering, strong problem-solving skills, and a solid understanding of distributed data processing frameworks.
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Master Data Governance/Management: Establish and maintain robust master data governance and management processes to ensure data integrity and consistency. This individual will be part of a team of advisory professionals focused on cloud-based data-reporting operations that integrate and optimize the essential corporate functions of finance, analytics, planning and HR. For many of our clients, successfully getting their data operations into cloud environments is a major focus.
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Understanding requirements, and data solutions (ingest, storage, integration, processing, access) on AWS. Job Title: AWS Data Engineer. Solid experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail.
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Manage and optimize Snowflake Data Warehouse for efficient data processing and analytics. We are looking for a AWS Infrastructure & DevOps Engineer who will contribute to design, implement, and maintain of our cloud infrastructure on AWS. The ideal candidate will have expertise in Terraform, Bitbucket Pipelines, Snowflake Data Warehouse, AWS Lambda functions, and various AWS services including SNS, SQS, SES, API Gateway, EC2, Textract, Bedrock and managed Airflow.
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Supervises all team members in the performance of their duties including data QA/QC, equipment setup/calibration, data acquisition, data processing, equipment maintenance, and production of final deliverables/report.
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Support batch, on-demand, near real-time data ingestion/processing-transformation/provisioning consumption use cases. Working knowledge and experience with Azure Data Lake, Databricks, Metadata Management, Master Data Management, Data Quality, Data Lake and Analytical platforms.
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The candidate will be expected to oversee the R&D project portfolio in the areas of materials processing, equipment setup, troubleshooting process inefficiencies and ensuring process control, collaborating effectively with R&D colleagues, product managers, product engineers, application engineers, and external customers, create and execute project plans, design, and conduct experiments, analyze data, and present findings in written and oral formats.
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Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications. Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
$161,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Using a disease-specific centers model for conducting clinical trials, CRS provides study development and implementation assistance, submissions to the FDA, IRB processing, patient recruitment, study coordination, study-specific training, data collection, and specimen collection and processing.
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data processing jobs Title: machine learning engineer in Pittsburgh, Troy, New York
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