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5 years of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management We engineer faster, smarter, leaner supply chains.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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10+ years of hands-on software development experience, with a strong track record of backend development experience with microservice architecture and streaming data. Join the CRM organization as a Senior Staff Software Engineer to help our customers grow their business by leveraging the power of QuickBooks and Mailchimp together.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Experience in handling and delivering big data analytics for daily users. The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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Experience with big data technologies & tools like Spark, Databricks, EMR. E xperience working in a modern, agile software team with version control & project management tools ( e.g., Git, SVN, Jira, Basecamp.
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Co-Ops will Assist Warranty Manager in data input into warranty tracking software. Co-Ops will assist the Warranty Manager with collection and documentation of Warranty incident data.
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The Senior Software Development Engineer is responsible for development, operations, and enhancements being built for our cloud journey. Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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Databricks data engineering (Databricks Professional Data Engineer and/or Spark Developer certification preferred) 2+ years of Databricks data engineering experience (Databricks Professional Data Engineer and/or Spark Developer certification preferred.
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At least 2 years of experience in information technology (operations, software delivery, access management, microservices), information security (application security, network security, cyber security, data protection), information systems risk management, information systems auditing, or a combination.
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As an engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Leverages the use of data analytics tools (e.g. QlikSense, Databricks, Snowflake, Python, Alteryx, etc.) Alternate job titles: Data Specialist, Data Coordinator, Entry-Level Data Analyst, Financial Analyst, Operations Analyst, Systems Analyst.
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big data software jobs Title: big data engineer Company: Synopsys in Atlanta, GA
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