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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Strong Experience with cloud-based data warehouses – e.g., Snowflake, Big Query, Synapse, RedShift, etc. Experience with at least one of the following cloud platforms: Microsoft Azure (Preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP.
$83,000 - $138,200 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control. Strong proficiency in cloud-based data storage solutions such as Amazon S3 and Google Cloud Storage, including data ingestion, data organization, and data lifecycle management.
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Sound experience in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. 7+ years of progressively complex related experience in cloud data engineering and data analysis.
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Solutions Architect, Azure or AWS Cloud platform, AI/Client & MLOps, Java, Spring, Microservices, Big Data, Streaming, Security, Application tiers & Network tiers. Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) & Relevant certifications (e.g., AWS Certified Solutions Architect, TOGAF Certification) are a plus.
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Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL. The Data Engineering Google Cloud Platform (GCP) Engineer is responsible to develop and deliver effective cloud solutions for different business units.
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An experienced Solutions Architect well versed in designing & modernizing big data architectures on Google Cloud Platform (GCP). Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform.
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3+ years of experience with Cloud columnar databases (Snowflake, Google BigQuery, Amazon Redshift, etc) As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 8 years of experience in DevOps Engineering (Internship experience does not apply.
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Experience working with Cloud Datawarehouse like Snowflake, Google Big Query, Amazon Redshift. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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The client is seeking a Data Engineer, with experience in Google Big Query, GCP, ETL Pipeline, BI, Cloud Skills, Microsoft SQL with experience in both building and designing.
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Partner closely with our Software Engineering and DevOps teams to build scalable and repeatable data apps or ML microservices using Cloud Run, Kubernetes, Dagster and/or other tools and services.
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Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking. 1 or more professional certifications (SAFe PM/PO, Security+, CCSP, CISA, CRISC, AWS Cloud Practitioner.
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Technology Analytics - Packages Python - Big Data, Technology Cloud Integration Azure Data Factory (ADF), Technology Data on Cloud-DataStore Snowflake. Experience in large scale cloud data migrations using technologies such as Snowflake, Python, Spark, Databricks.
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engineering internship google cloud big data jobs Company: Capital One in Lexington, Massachusetts
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