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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Our analytics team is a growing team here at Mailchimp to support our strategic initiatives, business operations and revenue management as Mailchimp continues to evolve.
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Strong knowledge of Google Cloud storage, Cloud SQL, BigQuery, Google Analytics, Python – Pandas, PySpark, numpy, scikit SQL Server – Tsql, Postgresql – psql. Strong knowledge of Google Cloud storage, Cloud SQL, BigQuery, Google Analytics, Python – Pandas, PySpark, numpy, scikit SQL Server – Tsql, Postgresql – psql.
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Strong experience working with GCP technologies (Cloud Run, DataProc, BigQuery, etc) Minimum 4 years of development experience in Python or Java on a Public Cloud Platform.
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Develop a robust and scalable backend for enterprise line of business applications in Python, BigQuery, Docker, Kubernetes, Vertex AI, and more. Experienced using Python and tools such as Apache Beam, Tensorflow, Tensorflow extended and ML platforms tools like Vertex AI or Amazon SageMaker.
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Hands-on experience with Google cloud platform and it’s data offering such as BigQuery. 3+ years experience in using data analysis and visualization tools such as R, Python libraries (e.g., matplotlib, seaborn), Tableau, or Looker.
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Google Cloud Platform (BigQuery, PubSub, Dataflow, Vertex AI), Airflow, Terraform, Spark, Scala, Python, Looker, Dataiku, Kubernetes, SQL, Git. Vous disposez d’une solide expérience en développement Spark, Scala, Python et framework ML (Vertex, Tensorflow, Scikit, PyTorch.
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Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
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Experience with cloud-based tools and services for ML algorithm development on multiple platforms (e.g., AWS Sagemaker, Microsoft Azure ML, Google BigQuery). Advanced experience using Python and appropriate libraries/extensions (e.g., PyTorch, Cuda, SciKit-Learn) to code and test AI/ML algorithms.
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Contribute to auth solution design using IAP and BigQuery RLS. Proficiency in Terraform, Docker, and Python programming. Strong grasp of solution architecture, IaC, and cloud platforms.
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Knowledge of Public cloud technologies ( i.e.,Google BigQuery, Snowflake) Data science programming language experience (e.g., Python, R) Proficient in working with an array of MarTech Tools and data management platforms, Customer Data Platform, Salesforce CRM / Marketing Cloud Account Engagement (Marketing Automation), data exchanges, ad networks or demand side platforms (DSP.
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Experience with ELK stack, BigQuery, and other data analytics and log management tools. Proficiency in programming languages such as Python, Go (Golang), JavaScript, HTML, and CSS. Experience with cloud services like AWS or Azure, and data processing technologies like Spark and Kinesis.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL. Excellent written and verbal communication skills. You will use tools such as SQL, Oracle Business Intelligence, Tableau, Google Cloud Platform, Python and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics.
$401 a year (bonuses, competitive)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in GCP Cloud services such as Big Query, Composer, Airflow, DataProc. Basic Understanding of some ETL Tools e.g., AbInitio, Native BigQuery etc. Hands on experience in building solutions in public cloud environments (GCP, Azure or AWS.
$64,890 - $131,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and economics/statistical modeling.
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