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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Job Description: Cloud Data Engineer (Hybrid) Primary Duties & Responsibilities Job Summary Experience what being part of the Globe Life family feels like. The Cloud Data Engineer role will support our Cloud Data Management and Advanced Analytics platforms.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes), code management tools and frameworks (e.g., Ci/CD, Git) for understanding and managing big data solutions.
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Google Associate Cloud Engineer or Data Engineer certification is a plus." Strong background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Jav SQL Python Google Data Center Data Warehouse Google Plx Data Studio Looker Tableau Google Cloud Platform (GCP) Google plx dashboards GoogleSQL BigQuery SQL scripting.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive. Title: Senior Data Engineer - Big Data.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth understanding of GCP’s underlying architecture and hands-on experience with products like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Hands-on experience with cloud platforms and orchestration systems such as AWS, Azure, or Google Cloud Platform, and knowledge of cloud-native services (e.g., EKS, RDS, Lamda, ECR, IAM) and (e.g. OpenTofu, Terraform, CloudFormation.
$134,000 - $196,000 a yearExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. The Cloud Data Engineer role resides within the Ford’s Electric Vehicle organization.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Designing, architecting, implementing, and managing cloud infrastructure on leading Cloud platforms Google Cloud Platform, AWS and Azure; Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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hands on google cloud big data engineer jobs Title: senior data engineer in Lahaina, Hawaii
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