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Proficiency with SQL via Google BigQuery along with other cloud-based systems and tools. Viant (NASDAQ: DSP) is a leading people-based advertising technology company that enables marketers to plan, execute and measure omnichannel ad campaigns through a cloud-based platform.
$88,200 - $110,500Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Infrastructure: Google Cloud (Cloud Run, Kubernetes, Pub/Sub, BigQuery, CloudSQL), managed with Terraform. Infrastructure: Google Cloud (Cloud Run, Kubernetes, Pub/Sub, BigQuery, CloudSQL), managed with Terraform.
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Strong, hands-on experience with cloud-based databases (e.g., AWS RDS, Azure SQL Database or Google cloud) AWS RDS and data lake technologies, like AWS S3, Azure Data Lake Storage, or Google Cloud Storage, for managing and storing unstructured and semi-structured data.
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Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer. Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) Google Associate Cloud Engineer or Data Engineer certification is a plus.
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Strong client service skills, as well as knowledge of the prominent technologies within ad tech: data onboarding, DSPs, ad serving, programmatic buying, measurement, and data targeting. Cultivate a deep understanding of the technology landscape and trends relevant to clients and the ad tech industry.
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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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Preferred experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep.
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Database: SQL Server, PostgreSQL,Snowflake,Redshift, Aurora,Presto,BigQuery,Oracle. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future.
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Participates in the building of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform. May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.
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Familiarity with Google Cloud Platform (GCP) frameworks, including, BigQuery, IAM (fundamentals), Pub/Sub, Dataflow, Cloud Composer, DLP, or any others. Familiarity with Google Cloud Platform (GCP) frameworks, including, BigQuery, IAM (fundamentals), Pub/Sub, Dataflow, Cloud Composer, DLP, or any others.
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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.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
$147,500 - $195,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others. Partner with product-aligned engineering teams to understand and improve the developer experience of our Google Cloud BigQuery and Pub/Sub client libraries.
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