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Data Integration: Integrate data from various sources into GCP using services like Cloud Storage, Cloud Pub/Sub, Dataflow, and BigQuery. Data Modeling: Design and implement data models for optimal performance and efficiency in BigQuery or other GCP data storage solutions.
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In-depth knowledge of Google Cloud Platform (GCP) and its core data services (GCS, BigQuery, Cloud Storage, Dataflow, etc.) Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL, while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
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Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools. Kubernetes, Python, SQL, Pyspark, GCP, Azure, and Kubernetes.
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Three (3) years of experience within the last five (5) years with Dell/EMC, IBM, NetApp, and Pure Storage solutions from midrange to enterprise class storage arrays for enterprise environments.
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Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL). Continuously improve systems through performance enhancements and cost reductions in compute and storage.
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5-7 years of experience with AWS, Azure or GCP Cloud and traditional infrastructure (compute, storage, networking, database, middleware) and ITSM operations frameworks (ITIL, MOF, COBIT, etc) required to manage provisioning, capacity, performance and other key operations in hybrid infrastructure.
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Deep understanding of AWS/GCP/OCI cloud services and how to leverage them for compute, storage, and managed services including, but not limited to databases, managed Kubernetes, and Python/Django application services.
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Pyspark, SQL, CI/CD Pipelines for Databricks, ETL Processes, Project Management and Delta Lake Storage. o Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops. Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring.
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They should come in with expertise across GCP, GKE, Terraform and IaC. The candidate will have an extensive technical background, a solid understanding of applicable technologies, and possess technical expertise in the areas including PaaS, Compute Engine, Cloud Storage, Cloud Run, Cloud Security awareness, SRE practice concepts, and Google Cloud services cluster architecture.
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Familiarity with GCP data management tools and services, such as BigQuery, Cloud Storage, and Cloud Dataflow. Hands on experience with GCP AI services including Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
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Expert level in Current technology Stack Helm, K8S, Istio, GCP, AWS, GKE, EKS, Terraform, SRE/DevOps practices or equivalent. Hands-on experience working on core Cloud services – compute, storage, network, virtualization, Identity and Access Management (IAM.
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Database Development: Implementing database solutions using cloud-based technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). A Cloud Database Engineer is responsible for managing, maintaining, and optimizing cloud-based database systems to ensure efficient and reliable data storage and retrieval.
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Highly desired experience with Google Cloud Platform (GCP) products, including Dataflow and Cloud Storage (BigQuery, Cloud Functions, Cloud Composer, Pub/Sub, and Terraform scripting are preferred.
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Industry Level Certifications including CCDE, CCIE, CISSP, CDP, MCSE AWS, Azure, GCP, etc. Familiarity with Big Data, AI, automation, end user experience and service management technologies along with cloud technologies including containers, Kubernetes, cloud-native services, storage, networking, and commercial models at a high level.
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QualificationsMust have good implementationexperience onvariousGCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQLMust have programmatic experience with tools like Javascript, Python, Apache Spark.
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