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Master of Science degree in Computer Science, Engineering (Any Branch), Computer Applications/Applied Computer Science, Information Technology or Computer/Management Information Systems plus two (2) years of experience as QA Analyst, Test lead, Software Developer, Software Engineer, Systems Analyst, Computer Programmer or related position.
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AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. You will build a search engine that lets AI pull from adequate sources, build entire retrieval system with trillions of rows of data that are automated constantly with Airflow.
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Work with the engineering team to optimize the thermal performance of servers using empirical data and bench test methods. The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software.
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Working as part of the data engineering team, you are an expert on data pipelining and big data processing frameworks, have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
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As a Senior Product Scientist on the Product Science team, you will help lead strategic, data-driven decision making at Mailchimp. Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake.
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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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Deployment, maintenance and improvement of software Data Visualization Specialist(Software Engineering - Tableau - Intermediate) Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing.
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Bachelor's Degree in Cybersecurity, Systems Engineering, or Computer Science. Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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In depth knowledge of complex architecture patterns including Microservices, Container platforms, API’s, Data engineering platforms, Data Lake, Cloud Data Warehousing, Robotic process automation.
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Requirements: Attend a 20-week paid training program to gain skills and certifications in leadership, mathematics, cartographic analysis, radar systems operations, laser operations, computer electronics, detection systems, data calculation and recording data.
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Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Act as a technical advisor to the product manager, engineering, and other stakeholders.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field.
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GPA of 3.5 or higher is preferred Common areas of study include but are not limited to: Economics Computer Science Data Science Engineering Financial, Stochastic, and other applied Math Operations Research Statistics & Econometrics Other STEM majors Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results.
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Software Engineer - Senior Software Engineer - Data Engineering Team. Our end-to-end ownership of the data world includes both typical data-engineering type problems (think Spark pipelines, ETL processing, etc) and more general software-engineering tech as well (think Java applications, API design, etc.
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data computer engineering jobs Title: senior software in New York, NY
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