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Experience with public cloud environments (AWS, Azure, GCP), preferably experience with Google Cloud services like Bigquery, GCS, Cloud Composer, PubSub. Experience with public cloud environments (AWS, Azure, GCP), preferably experience with Google Cloud services like Bigquery, GCS, Cloud Composer, PubSub.
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ITIL, ServiceNow); 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, Cloud IAM, etc.
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Deep understanding of cloud computing principles and experience with GCP services, particularly BigQuery. The ideal candidate will have a deep understanding of GCP, containerization, microservices architecture, testing frameworks, fault tolerance, and cloud solutions, with expertise in TypeScript and Node.js.
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Must have good implementationexperience onvariousGCP's Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL. Senior Data Engineering Google Cloud Platform (GCP) is responsible to develop and deliver effective cloud solutions for clients.
$103,000 - $145,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Configure and manage GCP services such as Compute Engine, App Engine, Cloud Storage, Cloud SQL, BigQuery, Cloud Functions, and Cloud Pub/Sub. Develop and maintain GCP disaster recovery plans.
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Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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The BI Developer will focus mainly on our cloud solutions GCP/Looker/BigQuery platform as we migrate from on-prem to cloud-based solutions. Design new data models using GCP and BigQuery.
$80,300 - $133,900 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Working knowledge of GCP. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Experience with GCP cloud services: BigQuery, GCS, Cloud SQL, ML, Pub/Sub, DataProc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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The BI Developer will work focus mainly on the Looker/BigQuery platform as we migrate from on-prem to GCP Cloud. 2+ years of experience working with Google BigQuery (preferred) or Snowflake or DataBricks.
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Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Experience in building advance Bigquery SQL and Bigquery modelling is required. Experience in complex migrations from legacy data warehousing solutions or on-prem datalakes to GCP.
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