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Integrate data from Segment, Google Analytics, Google Tag Manager, Google Ads, and Facebook Ads into data lakes and warehouses including BigQuery and Cloud Storage inside Google Cloud Platform.
ExpandUpdated 27 days ago - UpvoteDownvoteShare Job
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Data Integration: Integrate data from various sources into GCP using services like Cloud Storage, Cloud Pub/Sub, Dataflow, and BigQuery. Data Modeling: Design and implement data models for optimal performance and efficiency in BigQuery or other GCP data storage solutions.
ExpandUpdated 28 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery.
Full-timeExpandUpdated 26 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery. STG has an opening for Google Cloud Platform Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Strong understanding of GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Dataproc. Automation and DevOps: Implement automation scripts and workflows using tools like Terraform, Deployment Manager, or Google Cloud Deployment Manager to automate provisioning and management of GCP resources.
ExpandUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with Google Cloud Platform tools (BigQuery, Cloud Functions, Logging, Cloud IAM, Pub/Sub, Cloud Scheduler, Cloud Storage). The Senior Data Engineer will be responsible for creating and maintaining data pipelines between Google BigQuery and vended or UCR hosted sources in support of a campus wide data warehouse initiative.
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Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Experience in Real Time Data Ingestion using GCP PubSub, Kafka, Spark or similar.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. Experience with BigQuery. The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery.
ExpandUpdated 17 days ago - UpvoteDownvoteShare Job
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Data Processing: Develop and implement data processing pipelines using Apache Beam, Apache Spark, or other suitable frameworks to transform and cleanse data for analysis. We are seeking a highly skilled and experienced GCP (Google Cloud Platform) Data Engineer with more than 6 years of expertise to join our dynamic team.
Full-timeExpandUpdated 20 days ago - UpvoteDownvoteShare Job
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The GCP Data Engineer will play a pivotal role in designing, implementing, and optimizing data solutions on Google Cloud Platform. Architecture Design: Design and implement scalable and efficient data architectures on Google Cloud Platform (GCP) to meet business requirements and performance goals.
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Hands on experience with GCP AI services including Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow. Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. ELT (Bigquery, dbt, Airflow, Kafka) Extensive experience with Bigquery or similar cloud warehouses (Snowflake, Redshift.
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The ideal candidate has very strong knowledge of the Microsoft SQL Server engine with a focus on the ability to troubleshoot, optimize, and support existing pipelines (SSIS) and processes, and a desire to learn (or already possess and grow) popular cloud technologies like Snowflake, BigQuery, Matillion, and more.
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