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Experience in working with BigQuery, Postgres, Jira, confluence, Python, Kubernetes, AppEngine, APIgee, React. Experience in working requirements and design with at least one of the Analytics platforms – BigQuery/Looker, Tableau or PowerBI.
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We're seeking a Marketing Data Analyst proficient in Python, MySQL, BigQuery, and Data Visualization. What You'll Be Doing Design, build, and manage a centralized online database in BigQuery to house all client and marketing data.
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Extensive knowledge of and experience with large-scale database technology (e.g. RedShift, BigQuery, Synapse, Vertica, Netezza, Exadata, Teradata, Greenplum, etc. Extensive knowledge of and experience with large-scale database technology (e.g. RedShift, BigQuery, Synapse, Vertica, Netezza, Exadata, Teradata, Greenplum, etc.
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Experience using the following analytics and reporting tools: Google Cloud Platform (BigQuery), Microsoft Power BI, Microsoft Excel. Structure ambiguous problems, formulate hypotheses, gather and analyze data, and provide clear recommendations using tools such as BigQuery, Microsoft Power BI, Excel, R, PythonBuild scalable and complex supply chain models and processes to optimize supply chain.
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Proficiency with Perceptyx, Workday, Google Suite, MS Excel, and BigQuery/SQL. We are seeking a highly skilled and motivated People Analytics Manager with a strong background in User Experience (UX) and User Interface (UI) design in Tableau.
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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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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, 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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Use advanced knowledge and experience with current tools (BigQuery, Airflow, GCS, Dataplex, GCP tools) to implement cloud ready data Applications. Google Cloud development experience, including BigQuery and Cloud Composer.
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Redshift, BigQuery, Postgres, Mongo, Redis, etc. Our team is made up of over 500 employees globally, and our work for brands like Apple, Athleta, Best Western Hotels & Resorts, Kohler, McDonald’s, Nike, Old Navy, Sephora and Shake Shack runs across 85+ countries and has received top industry recognition from Cannes Lions to Adweek Media Plan of the Year.
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Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery. Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery.
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Experience with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) Experience with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
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Hands-on expertise building, deploying, and managing machine learning models on cloud platforms like Google Cloud (BigQuery, Vertex AI), AWS (SageMaker, Lambda), or Azure (Machine Learning Studio.
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Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
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Strong knowledge of Google BigQuery, BigTabble, BQscript, Dataproc, Cloud composer (Airflow), Vertrx ML, Spark Scala platform. Knowledgeable of Google Bigquery platform, Bigtable, BQscript, Dataproc, Cloud composer (Airflow), Vertrx ML, Spark Scala platform.
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In-depth knowledge of GCP services such as Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, Firestore, BigQuery, and Vertex AI. Strong experience with infrastructure as code (IaC) tools such as Terraform, and configuration management tools like Ansible or Puppet.
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