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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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Opportunities to advance into data engineering management or data science roles. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, AI/Data Science Experience is a plus.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena) The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Optimize Databricks jobs for performance and scalability to handle big data workloads. Minimally a BA degree within an engineering and/or computer science discipline. A multinational organization with 52 offices in 20 countries and the possibility to work abroad.
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Childcare Network invites you to join us and build a big career with little learners in a fun, nurturing environment where children are encouraged and guided to thrive. Plan and implement learning experiences that address physical health and development, social and emotional development, approaches to learning, logic and reasoning skills, language, literacy, mathematics knowledge and skills, science knowledge and skills, creative arts expression, and social studies knowledge and skills.
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Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. 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.
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Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience. Experience on big data technologies and tools (e.g., Hadoop, Spark.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Assisting in migration of current data science SQL infrastructure to more modern and scalable infrastructure (preferably in the cloud and postrgres) Alpha Theory is a fintech software company that prides itself on an inclusive and transparent culture that attracts curious teammates who are excited about tackling big ideas.
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Leverage Azure services including Azure Databricks, Azure Fabric, Azure Cosmos, and Azure Functions to facilitate big data processing, analytics, and machine learning workflows. Utilizing advanced data science and AI, this role aims to enhance business decisions, streamline operations, and foster the development of high-impact enterprise data management solutions.
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Master's degree or equivalent in Engineering (any), Computer Science, Computer Information Systems, Management Information Systems or related; and. Use big data platforms including Teradata, Hadoop and Oracle to build complex data ingestion and curation processes on large volumes of data.
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Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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big science jobs in Charlotte, NC
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