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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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Role: Senior/Principle GCP Data Engineer with strong SQL and Python. (Unitiy Catalog(tool in databricks)/Colibra(tool)/Data Catalog(Service in GCP) Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Knowledge and understanding of Cloud service offerings such as Data, Analytics, AI/ML on GCP. Wells Fargo is seeking a Senior Specialty Software Engineer within the Application and Cloud Transformation Platform Engineering team to deliver services that provide data analytics, AI/ML, and data movement.
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Knowledge of Cloud Data stack: AWS EMR, Apache Spark, Databricks, SNS, EC2/ECS, Airflow, ELK/Datadog, RDS/Postgres, AWS Redshift, GCP Big Query & Google Cloud Storage.
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Experience with cloud platforms (e.g. AWS, GCP, Azure, Databricks, etc.) Understanding of MLOps (scalable development to deployment of complex data science workflows) and associated tools, e.g. MLflow, Kubeflow.
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We use Python mainly, and we work with technologies like Google Cloud Platform (GCP), Terraform, Docker, Spark, Airflow, and BigQuery. Big Data experience with tools such as Spark, BigQuery, and etc.
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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure. Extensive professional experience with Big Data systems, data pipelines and data processing.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Enable other teams to develop data-processes by developing tools and self-service-solutions the Google cloud platform (GCP) Proficient in leveraging GCP's big data services for analytics, particularly BigQuery for data warehousing and analysis.
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Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
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Has Intermediate to advanced skills in data engineering on cloud in GCP and or AWS. 5+ years in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies, SnowFlake, Big Query etc.
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Cloud Build (Service in GCP) + Terraform. 10-15+ (for senior) of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience.
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Data engineer responsible for designing, developing the transformation and modernization of big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies also build new data products in GCP. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design and develop right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.
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Big Data : bases de données (ex MongoDB, Cassandra) et traitement de volumes de données massifs (BigQuery, Snowflake) Cloud : AWS, GCP ou Azure. Nous recherchons un(e) candidat(e) titulaire d’un Master en ingénierie ou en informatique disposant d'au moins 3 ans d'expérience en tant que Data engineer idéalement acquise au sein de grands groupes ou cabinets de conseil.
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Keywords: Data Engineer, Data Modeling, Cloud Technologies, AWS, GCP, Kafka, SQL, Python, Data Warehousing, DevOps, Power BI, ETL, Big Data, Data Solutions, SCRUM, Kanban.
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Build scalable and highly secure data infrastructure and cloud engineering solutions required for big data processing across data lake & data science platforms.
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cloud engineer gcp big data jobs Title: engineer
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