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Experience with marketing analytics tools (e.g., Google Analytics, Adobe Analytics, Salesforce Marketing Cloud) and driving key performance indicators. Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (kubernetes/Docker, etc.) Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.
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Experience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applications. Familiarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g. Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or Plotly.
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Google Cloud Platform (Google cloud bucket, Google cloud fusion, Google Big Query, Google Analytics) You must have practical experience working with large data sets preferably in website lead generation & search engine marketing, SaaS, or cloud computing domains.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience 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-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Internal knowledge of open source or related big data technologies. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
Full-timeRemoteExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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7 years experience in database and cloud Environments (Snowflake, Azure, Databricks, Oracle, etc.) 7 years experience in statistical languages and tools (R, Python, SQL, Big Query) 7 years Web Analytics Tools (e.g.: Google Analytics, Adobe Analytics.
$200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to Looker and the Google Cloud suite (Analytics, Data Studio, Big Query) a plus. Setting an example for the industry, Reformation remains at the forefront of innovation in sustainable fashion—running the first sustainable factory in Los Angeles, using deadstock and eco fabrics, tracking and sharing the environmental impact of every product, and investing in the people who make this revolution possible.
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Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS) Background with or understanding and/or hands-on experience with back-end cloud data (GCP, Big Query, Snowflake, etc.
$50 - $65 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Share data analytics knowledge to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.
$122,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform certification(s) (e.g. Associate Cloud Engineer, Professional Cloud Developer) is a plus. Experience with Google Cloud Platform services such as Compute Engine, App Engine, Cloud SQL, Cloud Storage, Kubernetes, and Cloud Functions.
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Google Big Query/GCS/Data Flow Skilled data engineer with hands on knowledge to create dataflow pipeline to ingest data into BQ and GCS. Role: GCP (Google Cloud platform) Lead.
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Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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