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Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans.
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Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. Experience working with data systems, warehousing, querying, or modeling.
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Help to maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL script and ‘big data’ technologies like Databricks.
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Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.
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Preferred - Master's degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent. Water utility experience preferred. Preferred - Master's degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
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Consulting and/or CxO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Block Chain, Big Data, CLOUD, etc.) Define and deliver innovative solutions by assessing member Mission Critical Priorities (MCPs) and developing a customized service plan.
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It's a big job that involves everything from operating underwater cables to finding data center space. 4 years of experience in network asset negotiations and planning, including experience with dark fiber, bandwidth services, layer 3 interconnect, and data centers.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Operating knowledge of multiple target industries, (ideally manufacturing, consumer packaged goods, high tech, energy, telecom, financial services, or life science) is a plus.
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Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization. Deliverables may include, but are not limited to, application programming interfaces (API), data pipelines (end-to-end data processing), product analytics, geospatial reference data, predictive models and customer defined data sets.
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Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R) Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts.
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Conducts a broad range of analyses and uses past and present data to forecast and create models, demonstrating strong initiative, innovative thinking skills, and the ability to analyze details and adopt a big picture view.
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We are looking for a Senior Machine Learning Engineer to join a team of industry experts that work on Big Data technologies to develop solutions for deployment at massive scale. Proficiency in Spark, and experience with Hadoop or other big data processing technologies.
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You’ve 2+ years of experience in architecting big data systems around technologies like Apache Spark and Hive. You’ve experience in performance tuning of big data systems. Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants.
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big data jobs in Atlanta, SC, Australia
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