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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric Must have experience working with Apache Spark 3+ years of developing and operating production workloads in cloud infrastructure (AWS, Azure, etc) 3+ years of operating in a technical leadership capacity for 2+ teams.
$184,920 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team is looking for an outstanding leader with a talent for analytics, a strategic approach, and an orientation for action to join the InsurTech team as Principal Data Science, Analytics.
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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure. Responsibilities: Enterprise Data Engineering Delivery: Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Knowledge of Machine Learning/LLM knowledge, Data visualization Python, SQL, Power BI, Statistics, Deep Learning Algorithms & Big Data Technologies (Hadoop as an example), Natural Language Processing, Software knowledge, Automation.
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Job Description: This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Utilise skills from all the areas of data, including; data science, data analytics, data engineering, and analytics engineering. They are on the hunt for a Data Engineer, Big Data to join the cutting-edge team.
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Enrolled in an approved academic program in Information Technology, Computer Science, Data Analytics, Actuarial Science, Mathematics or a related field of study. A Data Intern will be responsible for supporting the company’s Carelon Digital Platforms team.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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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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Responsible for developing strategies, programs and solutions based on business priorities, consumer insights and industry trends that support digital strategy. Create, gather and assess market requirements through competitive intelligence and emerging trends, stakeholder and consumer feedback.
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Here is an opportunity to join our company, a company whose solutions lie at the convergence of many exponentially accelerating innovative technologies: Cloud, edge computing and the Industrial Internet of Things (IoT); AI, machine learning and deep learning; Big Data and analytics; and 3D printing (additive manufacturing.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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Education & Experience: Master’s degree in Data Science or related field (or equivalent) with 7+ years of experience in data science, AI, and digital transformation. We are looking for a talented and innovative Director, Data Science to join our AI and Machine Learning team.
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At least 2 years of hands-on experience with Azure, Databricks, and Hadoop distributed frameworks while handling large amounts of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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big data science jobs Title: data analyst Company: The Contingent Plan
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