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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$182,400 - $247,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks and/or HDInsights. · Direct experience of building data pipelines using HDInsights and Apache Spark (preferably Databricks.
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Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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Expertise in Spark Streaming, Apache Airflow, Cloud (Azure preferred), and on-premises open-source data systems. Design and implement high-performance data processing pipelines using Spark Streaming, Databricks, Snowflake and other technologies to ensure data security and privacy.
$215,000 - $322,250 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$220,400 - $297,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. 5+ years experience in designing, developing and deploying production-grade machine learning solutions in NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems.
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Google Kubernetes, Apache Mesos, Docker Swarm, Docker, Rocket, LXC. Be an architect of our future infrastructure, using tools like Kubernetes, Docker, Azure, and Azure DevOps.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase.
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Bonus Points: for contributing to open-source projects (Apache Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro) Leverage big data technologies like Apache Presto, Apache Pinot, Flink, and Airflow.
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6+ years technical engineering experience with building large scale distributed systems using, but not limited to Golang, Java, Python, containers and container orchestration systems (such as Docker, Kubernetes, Apache Mesos), infrastructure as code (such as Terraform), databases (such as Postgres, data sharding), and Cloud Platforms (such as Microsoft Azure, Amazon Web Services, Google Cloud Platform.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Automation / DevOps - Packer, Terraform, Ansible, Docker, Kubernetes, CloudFormation, CI/CD, GIT, Blue / Green Deployments, Pagerduty, Github. Bash, Shell, Perl, Python, PHP, Linux (Amazon or CentOS preferred), Apache.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design, develop and support ETL pipelines in Azure ADF, Spark, and Apache NiFi. The System Reliability Engineer (SRE) improves and protects T-Mobile's systems by engineering creative, automated solutions that ensure the reliability, availability, quality, performance, capacity, and security of new and existing IT products and services.
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We are investing heavily in building rich support for open table formats (Apache Iceberg) and open data formats, and we are expanding our team towards new opportunities in open source and format interoperability.
$235,000 - $368,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with Big Data components like Apache Spark, Apache Hudi, etc. Experience with Git, Docker, CI/CD, RESTful web services, etc. Be part of a great team - building Data Platform inside Oracle Cloud Infrastructure (OCI), delivering Data Warehouse, Data Lake, Big Data, Business Analytics Solutions at scale.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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