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GCP Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery. GCP Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery.
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Hands-on experience with GCP AI services including Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow. Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
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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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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. Experience with BigQuery. Experience with Google Cloud Platform (GCP.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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You have worked with Dagster/Airflow, BigQuery, GCP, Terraform, Kubernetes, sklearn, keras/TensorFlow/pytorch, dbt, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo.
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We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others. Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
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Partner with product-aligned engineering teams to understand and improve the developer experience of our Google Cloud BigQuery and Pub/Sub client libraries. As a Developer Programs Engineer (DPE) on the Google Cloud Libraries and Information Experience (CLiX) team, you will focus on long term support for handwritten client libraries (BigQuery, Pub/Sub, Bigtable, others.
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Technologies we use: Java, GCP (Pub/Sub, Dataflow, BigTable, BigQuery), Kafka, DropWizard, gRPC. Solid understanding of relational database modeling and design, including experience building data-intensive applications in data warehouse technologies like BigQuery, Snowflake or something similar.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Working knowledge of GCP. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. 7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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