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Google GCP (BigQuery, Composer, Data Studio) OpenShift, Docker, Kubernetes. Google GCP (BigQuery, Composer, Data Studio) Azure (Data Factory, Synapse, ADLS, Databricks) Certification Data Engineer (Azure Data Engineer, Google Professional Data Engineer ou Snowflake SnowPro.
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Experience with open source technologies like Docker, Kubernetes, Google BigQuery. Our legendary portfolio includes iconic mobile game franchises such as Candy Crush, esports opportunities like the Call of Duty and Overwatch Leagues, and some of the top PC and console gaming franchises such as World of Warcraft, Call of Duty, and StarCraft.
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Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis). Understanding of container-based deployments using Kubernetes or OpenShift.
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Tools: PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems. Tools: PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems.
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4 years of experience in working with high-scale or distributed RDBMS and/or NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Couchbase, MongoDB, Cassandra, HBase, Neo4J etc. + Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure.
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Proficiency in tools and technologies: BigQuery, SQL, Python, Spark, DBT, Airflow, Kafka, Kubernetes, Docker. Strong experience with container technologies such as Docker, Kubernetes.
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Usage of Google BigQuery Client and Vertex AI. Experience in Kubernetes, GCP, AWS, and cloud-native technologies generally. Usage of business intelligence tools (e.g. Tableau, Looker) and data frameworks (e.g. Hadoop, Google Cloud Platform, SAP.
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Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, Experience with AWS ECS and/or Kubernetes. Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks.
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Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery etc. Experience working with Google Cloud platform (Google Cloud Platform) specifically Google Kubernetes engine, Terraform, and infrastructure.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with cloud warehouses, such as Snowflake, BigQuery, RedShift and Databricks. Docker and Kubernetes. Experience with cloud warehouses, such as Snowflake, BigQuery, RedShift and Databricks.
$186,698.2 - $233,372.77 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in data analytics technologies, ETL, GCP Bigquery, Snowflake, Kafka, Spark, etc. Experience in tools and best practices in common environments e.g. Git, Terraform, Ansible, Docker, Kubernetes, etc.
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A : Python, Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Aporia, JS, PostgreSQL, Elasticsearch, Redis, GCP, BigQuery, Docker/Kubernetes, Github, GPT.
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Kubernetes Engine, PubSub, Secret Manager, Stackdriver, BigQuery, Cloud Storage. Productivity - G-Suite, Lucid Chart, Jira, Confluence, Slack. Kubernetes Engine, PubSub, Secret Manager, Stackdriver, BigQuery, Cloud Storage.
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Proficient in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP). At least five years experience working as a Solution Architect in system/data integration, development or enterprise/cloud software implementation.
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Integrate Docker container orchestration framework using Kubernetes by creating pods, config maps, deployments using terraform. Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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