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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Mentor junior engineers in software and data engineering best practices. Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Actively enrolled in an accredited Environmental Science, Environmental Engineering, Geology, Geochemistry, or related, Masters or PhD program with an anticipated graduation date of August 2025 or later.
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As a Capital One Sr. Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Master's in Computer Science, Computer Information Systems, or Management Information Systems plus three years of experience in software development using Python, Alteryx, SQL, OTBI reporting, Oracle BI Publisher, Oracle Fast Formulas, HCM Extracts, SOAP, REST API services, Workday HCM Modules, Workday Studio, Enterprise Interface Builder (EIB), Workday Report Writer, AWS Application Integration, Tableau, Excel, and JIRA. Excellent communication (oral and written) skills are also required.
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Option 1: Bachelor'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.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney’s addressable Ad Platforms.
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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The company is, at its heart, data driven, using data tools such as Python, Snowflake, and accompanying data science stack. Recruit, onboard, and train new hires within the software team, helping to establish a QA function as well.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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big data science engineering software jobs Title: sr software engineer
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