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Knowledge of Databricks and Spark for big data processing and analytics. Design, implement, and manage Azure-based solutions, leveraging services like Azure Data Factory, Azure SQL Database, Azure DevOps, etc.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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You will have a good understanding of business intelligence tools, data warehouses, master data management, data integration, documents and content, data modelling and design, ML/Big Data, analytics and dashboarding.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
$19.25 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You will design, develop, test, and maintain big data pipelines for ingestion, segmentation, and reporting to drive our v. 4+ years of experience in the big data space. RVO Health is looking for an experienced Data Engineer to join our team.
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Job Description: The Role The Asset Management Quant Research Engineering team is looking for a Principal Data Engineer who wishes to take on the challenge of building a world-class data operation.
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The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights. The position requires a strong foundation in Big Data with knowledge of Python and SQL query language.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc. o CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Designs and builds data processing pipeline using cutting-edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Understanding of relational databases (e.g., Snowflake, Google Big Query, Databricks, Redshift, Synapse), data warehousing, ETL, web services, SaaS technologies, etc. Experience with data modeling, data warehousing, data engineering, data integration.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake. You are a savvy Data Engineer responsible for the technical development of best-in-class, cloud-first data engineering solutions to support our data product and AI teams.
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big data jobs Title: big data software engineer Company: Change Healthcare
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