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Collect ADAS big data for all vehicle tuning/calibration activities to aid triage and issue resolution. Suggest software strategy updates as needed based on outcome from data collected during calibration development.
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77 West Wacker Dr (35012), United States of America, Chicago, Illinois Director, Software Engineering - Partnerships We are seeking a Director of Software Engineering who is passionate about growing and sustaining an innovative technology organization while fostering a culture of engineering and operational excellence.
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Actively leading the technology domain that includes data architecture, data engineering (inclusive of big data supporting data science), data integration, data operations, and business strategy that advances ideas into transformational new capabilities.
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Expertise in advanced data science, machine learning, and artificial intelligence techniques, supported by a strong track record in programming languages such as Python, R, SQL, and proven software engineering methodologies.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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As a Junior Full Stack Developer, you will play a key role in designing, developing, and maintaining our software applications. Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Tops 3 Skills Needed Data Engineering 5 years Data Bricks 5 years Py Spark 5 years Years of Experience: 12 years Technology requirements: Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming.
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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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Minimum of 10 years of experience in backend software development, with a strong focus on data engineering and big data technologies. Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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Proficient with statistical and data visualization software e.g. JMP, Minitab, SQL. BS, MS in materials science or engineering, mechanical engineering, powder metallurgy, nanotechnology, applied physics, chemical engineering, or related field.
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One of the goals of Digital Agriculture Program at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply new and emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.
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big data software engineering jobs Title: full stack developer
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