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Must Have - Platform engineer, Azure DevOps and CI/CD tools, Azure Cloud, Microsoft Fabric, Azure Services, Apache Spark, Experience of using IAC (terraform, APIs), Data Engineer, Big Data, PySpark.
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Extensive experience working with large data sets with hands on technology skills to design and build robust Big Data solutions using Spark PySpark framework and Industry standard frameworks like Databricks Azure DevOps and other tools technologies on Azure Cloud Platform.
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Our Data & Analytics teams specialize in the delivery of a next generation data platform, information driven reporting solutions, and works to align technology solutions with business objectives.
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Then come and join our Data & Analytics team at Retail Business Services, a proud company of Ahold Delhaize, a startup environment in the middle of a big corporate office. Retail Business Services, ranked No. 25 on Fast Company’s 2022 100 Best Workplaces for Innovators, is the services company of leading grocery retail group Ahold Delhaize USA, which includes Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop.
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Position Responsibilities: Work closely with Enterprise Data Services, Enterprise Architecture, DevOps, and Business Intelligence partners for supporting various initiatives in SAS applicationConfigure, install, test, and maintain application software (deploying SAS Platform for data sources like Snowflake, Postgres, Oracle, SQL Server, etc.
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Corporate Bank Technology – Cash Data Controls – Java Engineer - Associate. Corporate Bank Technology – Cash Data Controls – Java Engineer. Hands-on experience with “big data” technologies (e.g. Apache Spark, Google Dataproc, Google Big Query) and messaging technologies (e.g. Kafka, Message Queue (MQ), Java Message Service (JMS.
$85,000 - $120,750 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Comprehensive Benefits package: Medical, Dental, Vision, 401K, PTO. Keywords: DevOps, Cloud, Azure, AWS, GCP, Oracle, Oracle Cloud, DevOps Engineer, Cloud Engineer, Engineer, GitHub, Gitlab, Clearance, TS/SCI, Bachelors, Engineering, CI/CD, Ft. Liberty, On-site, Jenkins, Information Technology, restoration, concepts, DoD, Government.
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Proficiency in DevOps and automation technologies, such as Jenkins, Docker, Terraform, Ansible, Apache Air Flow. Familiarity with big data tools like Cassandra, Hadoop, Plotly, Storm, BigQuery.
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The Technology & Systems department participates in designing each of our new data center building’s networking infrastructure, including but not limited to diverse pathways connecting to carriers, meet-me room hosting (rack, cabs, ladders, cross connect panels.
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Job Description: GCP Data Engineer, Big data Technologies , Google Cloud Platform (GCP) data services such as DataProc, Dataflow, Cloud SQL, Big Query, Cloud Spanner in combination with third parties such as Spark, Apache Beam/ composer, DBT, Cloud Pub/Sub, Confluent Kafka, Cloud storage Cloud Functions & GitHub. Must have more than 6 years experience.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
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Big Data engineer - Remote. Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing.
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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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