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Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc. Quickly learning skills to adapt GCP cloud native SQL (Bigquery). Ability to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery.
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Hands-on experience with one of these - BigQuery, Snowflake or Amazon Redshift. Experience in SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake) and data pipeline orchestration (e.g., Airflow, Astronomer, DBT cloud, etc.
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Cloud Platforms: Google Cloud Platform (Dataflow, BigQuery), Microsoft Azure, Docker, Kubernetes. OS/Programming Languages/Scripting: JAVA, Apache Beam, Spring Boot, Spring Microservices, JUnit, REST Webservices, Swagger, Postman, AVRO, JSON, JDBC, Shell Script, Python, Powershell, RedHat Linux, Unix, Ubuntu.
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The Analyst will use the Google Cloud Platform (GCP) BigQuery and Microsoft Power BI tools to access data about our customers. 3+ years of experience programming in SQL. Google Cloud Platform (GCP) BigQuery experience combined with Microsoft SQL Server or commensurate experience preferred.
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Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc. Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc.
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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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Experience with Databricks and BigQuery preferred. Experience with Databricks and BigQuery preferred. Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.
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Additional knowledge with Looker, BigQuery, Tableau a plus. Additional knowledge with Looker, BigQuery, Tableau a plus. A subject matter expert to cross-functional projects, owner of the reporting user experience for all stakeholders acting as HR Data Steward.
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Cloud services (BigQuery, SES, Who will work closely with our tech stack: Docker Swarm, Kubernetes, Gitlab, nginx, PHP, MySQL, MongoDB, Redis, RabbitMQ, Gitlab, Ansible, Python, Bash. Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our.
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Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.) We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio.
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Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense.
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Experience with GCP BigQuery, Azure Databricks and comparable cloud platforms a plus. Experience with GCP BigQuery, Azure Databricks and comparable cloud platforms a plus. Reporting technologies both on-prem and cloud-native - Includes but not limited to PowerBI, Tableau, SAS, SSRS, SSIS, Looker as well as scripting with Python, AIX, PowerShell.
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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services.
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Influence and help to operate our entire platform using modern technologies such as Python, Flask, BigQuery, Pub/Sub, EventArc, Apache Beam, etc. Experience working with and managing a variety of distributed data systems such as Kafka, Storm, Spark, Clickhouse, Druid, Snowflake, BigQuery, etc.
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6+ years of experience in design and development of 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 and Cloud IAM.
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