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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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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
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Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake ). Hands-on experience with cloud platforms ( e.g., AWS, Azure, GCP ) and containerization technologies ( e.g., Docker, Kubernetes ), code management tools and frameworks ( e.g., Ci/CD, Git ) for understanding and managing big data solutions.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horns future leaders.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. We are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team.
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Seeking candidates with previous hands-on leadership experience, cloud and data marketplace solution design and delivery experience at scale (Snowflake, Databricks, Salesforce, Google/Amazon/Microsoft marketplaces), and external vendor oversight.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Responsibilities include gathering reporting requirements to enhance business intelligence, integrating data into BI tools in collaboration with IT, creating reports using Microsoft Power BI, working closely with IT to publish reports and dashboards, and providing end-user support for reporting and dashboard related issues.
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Support the Sustainability Manager in training the Sustainability Analyst on data tracking, benchmarking and analysis of utility data. This entails working with property teams daily on various aspects of ESG from data analysis to project evaluation.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Strong Data Engineering skills. This may involve tasks like data normalization, feature engineering, and handling missing values.
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Provide advanced technical expertise and leadership in cybersecurity, contributing to the identification and resolution of complex cybersecurity issues across various domains such as Incident Response, Threat Intelligence, Governance, Risk, and Compliance (GRC), Privacy, Vulnerability Management, and Engineering Operations.
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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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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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big data engineering analyst jobs in Dallas, IA, Australia
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