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The successful candidate will have experience with Acumatica, PowerBI, SQL, BigQuery, Azure, CPG, and JSON. Proficient in Acumatica, PowerBI, SQL, BigQuery, Azure, CPG, and JSON. The successful candidate will have experience with Acumatica, PowerBI, SQL, BigQuery, Azure, CPG, and JSON.
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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.
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Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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Primary Skills In Order: Java, Spark, GCP, Python, Composer, Bigquery. Responsibilities: As an Entry-Level to Mid-Level Application Lead, you'll use your expertise in Google BigQuery to design and implement effective data management solutions.
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Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI. Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases, preferably BigQuery, MySql, and MongoDB.
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Minimum of four (4) Years of experience within the Google BigQuery (primary) or equivalent (Snowflake, DataBricks) environments. Collaborate with data team to migrate existing transformations, data warehouse, and reporting from legacy tools to BigQuery, and Looker.
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Preferred: Familiarity with Google BigQuery. UMG’s Analytics & Insights team within the Global eCommerce & Marketing group is looking for a Senior Business Intelligence (BI) Developer to help unify data sources, package analyses, and communicate meaningful insights to internal, label, and artist management audiences.
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Technical skills in below areas Google BigQuery, DataProc, Data fusion, Apache Airflow, Google Cloud Platform, Python, SQL, CI/CD pipelines. Deployments on BigQuery object provision automation, BigQuery capacity management (Proactive/Reactive.
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Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using Google Cloud Platform Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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What we're looking for 3+ Years of experience (preferably 5+) Experience with Looker, Tableau or Power-BI Experience with SQL and Python scripting Experience with BigQuery, Data warehouse / Datalake a plus Foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California.
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The successful candidate will work closely with system owners, end users, and the development team to understand the functional requirements to create effective solutions utilizing Pixel hardware with Doc AI, BigQuery, Looker, Apigee, and other tools within the Google Cloud Platform.
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Experience with database solutions like Kudu/Impala, or Delta Lake or Snowflake or BigQuery. Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
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Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies. Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies.
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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Demonstrated commercial experience in data modeling, design, and development for relational databases with complex SQL (Snowflake, BigQuery, Redshift. Demonstrated experience using data processing tools, such as Airflow, Spark, dbt, Fivetran, Databricks, Talend.
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