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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$32.93 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have 2 years of experience coding; testing; developing big data solutions/applications; dashboards, project modules; performing scripting, visualization; reviewing requirements; maintaining design documentation; using Hadoop, MapReduce, Spark, Kafka, Hbase, Java, Python, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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YOUR IMPACT:Design and develop scalable Change Data Capture (CDC) and ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming.
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Experience with AWS cloud native services for big data storage and processing. Ability to work in a big data environment. Expertise in AWS cloud application development, Trifacta, Axon, Enterprise Data Catalog (EDC), Enterprise Data Management, MDM Commercial Off-The-Shelf (COTS) Solution, System Integrator (SI) Relationship, Enterprise Reference 360, and Enterprise Data Governance.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. As a Senior Consultant Data Scientist, you'll join our Value Added Services – Digital Marketing & Engagement organization.
$234,250 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Senior Data Scientist - Remote. Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources. You have 10+ years of experience as a data scientist manipulating large datasets, building data pipelines and machine learning models.
$223,285 a yearFull-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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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.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
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big data remote jobs Title: data scientist Company: Django Rest Framework in Phenix-city, Alabama
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