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Understand the design and develop the standard framework modules, high performance services and client libraries for big data using one or more tools from AWS, Azure, Kubernetes, Spark, DBT, Databricks and snowflake, AWS S3, Azure Blob Store.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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3) Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. 4) Knowledge of data lake and data warehouse solutions, including Databricks, Azure Data Factory, Airflow etc.
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools 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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Mulesoft Integration: Hands-on experience with Mulesoft’s Anypoint Platform is a big plus. Mulesoft Integration: Utilize Mulesoft’s Anypoint Platform to design and implement integration solutions that connect various applications and data sources.
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You will work on data extraction, data transformation, data loading into GCP & WebFocus Integration to support the Enterprise in the Data Factory on Google Cloud Platform (GCP.
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The Administrative and Data Clerk shall provide data entry and administrative services supporting the Transition Assistance Program at the M&FR for the 55th Force Support Squadron (FSS) and shall perform data entry, administrative functions, and other duties related to the congressionally mandated Transition Assistance Program (TAP.
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Proficiency in Databricks, Spark, and related big data technologies. Proven experience as Data Engineer, or similar role, with a focus on Databricks. Design and engineer scalable, robust, and efficient data solutions using Databricks.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table. 6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
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The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Assist in identifying potential high interest intelligence data through extensive data mining of internal and OSINT (Open Source Intelligence) content. Must possess advanced OSINT skills and experience collecting and analyzing large quantities of data to produce notifications, assessments, and reports.
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Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures.
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big data jobs Title: commercial in New York, ME, Missouri
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