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Seven (7) years of experience and a Doctorate Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensic, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Requirements: Requires a Bachelor s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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EducationPreferred Bachelors of Science degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math; Developer nanodegree; or equivalent experience.
$128,400 - $215,800 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, or a closely related field and six (6) years of experience as a Director, Software Engineering (or closely related occupation) developing enterprise Web applications in a financial services domain.
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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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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
$150ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Bachelor s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Utilize: Machine Learning, Data Science, Python, Data Engineering, Software Engineering, Structured Query Language (SQL). One (1) year of experience must include utilizing Machine Learning, Data Science, Python, Data Engineering, Software Engineering, Structured Query Language (SQL.
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Experience must include 6 years with: engineering management; implementing and managing significant software development projects (APIs, data stores, rules engines, scaling web application development);Multiple testing disciplines (e.g. APIs, Functional UI testing, Performance testing, data-oriented systems test, distributed systems, etc);Working with very large data sets and Data Science methodologies.
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2+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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big data science engineering software computer jobs Company: Dice
FEATURED BLOG POSTS
To ATS or not to ATS
As hiring is becoming more analytical and data-driven, companies have found ways to incorporate technology to help hire and recruit more efficiently. ATS, also known as an applicant tracking system, has become one of the most widely adopted technological recruiting tools to date. In fact, according to data from Capterra:
6 Best Ways to End a Cover Letter with Examples
Including a cover letter with your resume is a great way to introduce yourself to the hiring manager, tell them why you’re the ideal fit for the role, and provide context about your personal situation. A strong cover letter will give you an advantage over other applicants. But it’s important that you structure it properly and write it powerfully so that it carries an impact. This article will discuss how to end a cover letter effectively so you catch the eye of a hiring manager and increase your odds of landing an interview. Read on to learn more.
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It’s easy to get caught up in focusing on your resume – how it looks, what it says, and whether it’s going to land you a job interview. Because there is a big focus on building the perfect resume, job searchers often overlook the importance of a high-quality cover letter. Your cover letter plays a huge role in your first impression. It humanizes you and provides context for your resume.
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Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.