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Strong expertise in cloud platforms such as AWS, GCP, or Azure for data sourcing, supporting model development, and assisting with operationalization. Expert knowledge in big data technologies such as SQL, Python, PySpark / Spark, Hive, Presto, Kafka.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience building cloud-based platforms that enable application design like AWS, GCP, Azure, OCI, etc. Oracle Health Data Intelligence Platform is growing and looking for a Principal Software Engineer to join the HealtheIntent – HealtheRegistries Platform Team – HealtheRegistries aggregates data across multiple disparate sources and normalizes the data, enabling advanced decision support, predictive algorithms, population identification, and advanced analytics.
$94,200 - $223,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Some of the technologies you'll be using include: AWS, GCP, Azure, and their hosted services like RDS, SQS, and Lambda; NoSQL/distributed such as DynamoDB and Redis; Hadoop and other "Big Data" platforms; and established Java codebases.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with cloud environments such as AWS, GCP. Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow. Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
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10+ years of experience with Big Data cloud services in AWS, GCP, and/or Azure. Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
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And cloud/big data platforms (AWS, GCP, Beam, Spark). Optimize cloud infrastructure and leverage technologies like Docker, Kubernetes, and cloud data platforms (AWS, GCP) for deployment and scaling.
$155,904 - $233,856 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Software Engineer for Command Center, you’ll work on the cutting edge of cloud technology as you scope and lead complex technical projects, laying the groundwork for early-stage products to iterate and scale.
$72,512 - $108,768 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud-based data platforms (e.g., AWS, GCP, Azure). Expertise in big data processing technologies (e.g., Hadoop, Spark, Kafka, Flink). Architect and implement robust data pipelines and big data processing solutions.
$200ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a Software Engineer, you’ll work on the cutting edge of cloud technology as you scope and lead complex technical projects, laying the groundwork for early-stage products to iterate and scale.
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1+ year of experience with building scalable, distributed systems using a modern cloud framework such as AWS, Azure or GCP. Previous experience with big data systems, analytics, containerized microservices, serverless functions, and event-driven architecture.
$80,000 - $135,960 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with relevant programming languages and big data technologies (e.g., Python, Scala, Java, Airflow, Hadoop, Spark) Experience working with cloud infrastructure (e.g., AWS, GCP, Azure.
$150,500 - $269,200 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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As a Backend Software Engineer for one of the largest social media platforms, you will be responsible for condensing 3 data sources onto one GCP platform. Google Cloud endpoint creation - including cloud functions, Pub/Sub, cloud storage, and big query.
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Big Data Frameworks Metadata Catalogs – DataHub, Informatica, Collibra (experience in any one is good) Data Quality Platforms – Anomolo, Informatica, BigEye (experience in any one is good) Event Platforms – Kafka, MSK Data Platforms – Palantir Foundry, Databricks, Snowflake (experience in any one is good but Foundry experience will be a bonus) Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
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Familiarity with GCP Big Query and Presto is a plus. Experience with cloud environments such as AWS, GCP. Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow.
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