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As part of our Google Business Group in Cloud First, you will lead technology innovation for our clients through robust delivery of world-class solutions. To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes helps companies achieve.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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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. 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.
Full-timeExpandApply NowActive JobUpdated Yesterday - 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. 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 12 days ago - UpvoteDownvoteShare Job
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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. Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or Google Cloud Platform.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong analytical mindset with expert knowledge of SQL and BigQuery, as well as BI tools such DataStudio and Looker (LookML) to implement business reports and BI solutions. As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in data management and analytics tools and technologies, such as SQL, NoSQL databases, Hadoop, Spark, Databricks, Kafka, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud.
$208,692 a yearPart-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients’ business to the next level. Whether working with our existing repository of products or building TRKKN’s next-gen capabilities, you’ll leverage your expertise in statistics and programming to develop and deploy scalable solutions within the cloud.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Leads the design and build of scalable data pipelines and solutions (batch and/or streaming) that make the best use of traditional and cloud platforms (AWS or similar) by understanding the business, technology, and data landscape including real time data processing.
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Aid agency leadership New Business efforts by executing ad hoc and custom analyses when necessary. We offer the ideal workplace for anyone who wants to grow, learn, and has a strong desire for solving complex business challenges.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Skills: apigee,universal messaging,design documents,integration with salesforce,java,integration,kafka,google cloud,cloud,webmethods,kibana,webmethods developer,integration with google cloud,integration with mainframe,designer,softwareag integration server,rdbms (oracle or sql server),mws,soapui,trading networks.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will work on open source libraries (such as ) to be used in both on-premises and cloud services (such as Databricks, AWS EMR, Google Dataproc, and Cloudera). 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.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
Full-timeExpandApply NowActive JobUpdated 6 days ago
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