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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks. Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS data offerings.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Cloud Technologies: Experience with Azure Data Factory, AWS Glue, or equivalent, Azure Synapse Analytics, AWS Redshift, or equivalent, SQL Database. Data Engineering Concepts: Familiarity with Data warehousing and ETL processes, Data modeling and schema design, Data governance and security, Real-time data processing and streaming, Performance tuning and optimization.
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Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings. Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala) This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics. Experience with AWS cloud services (e.g., S3, RDS, Redshift, Lambda) is a plus.
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The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS) Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem) Experience with a public cloud, preferably AWS, GCP or Azure, including familiarity with network security concepts, identity providers and application hosting.
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Asset Management: Efficiently manage and organize video and photo files and assets in a cloud-based storage system such as Microsoft SharePoint and other Digital Asset Management systems. Minimum 3 years of experience with video editing/design software, including Adobe Premiere, After Effects, Photoshop and other software applications.
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AWS Security Assurance Services LLC, a PCI-QSAC (Payment Card Industry-Qualified Security Assessor company) and HITRUST External Assessor Firm, is a team of industry certified assessors, helping our customers achieve, maintain, and automate compliance in the cloud by tying together applicable audit standards to AWS service specific features and functionality.
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Minimum of 4 year’s of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP) You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Cloud Platform Expertise: Proficient in using AWS services such as Glue, Athena, Lambda, Secrets Manager, Redshift, Redshift Spectrum, PostgreSQL, CloudFormation, Step Functions, S3, EC2, and Boto3.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
Full-timeExpandApply NowActive JobUpdated 16 days ago
big data aws cloud jobs Company: Brooksource in Houston, DE, Wyoming
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