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Sr. Data Engineer (GCP BigQuery with DataFlow, Data Form, DataStudio and Looker) 3+ years in GCP BigQuery with DataFlow, Data Form, DataStudio and Looker. Data sources including but not limited to SQL Server, GCP, SAP, Teradata, Hadoop\Hive, PostgreSQL, Oracle and flat files.
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Required Skills : ETL Testing focused on Big Data, python automation, and working on Google Cloud Platform (GCP) Basic Qualification : QA testing, ETL testing, Python, and GCP. Additional Skills : QA testing, ETL testing, Python, and GCP.
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Design and Implementation: Architect and deploy scalable, high-performance ML and AI solutions on GCP, leveraging services like GCP Vertex AI, TensorFlow, and BigQuery. Proficiency with GCP services, including GCP Vertex AI, TensorFlow, BigQuery, Dataflow, and AI Platform.
$80 - $90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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GCP Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis. Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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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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Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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Automate cloud infrastructure provisioning and management using infrastructure-as-code (IaC) tools like GCP Deployment Manager and Terraform. Senior Google Cloud Platform Solution Architect needs 8 years experience architecting and implementing GCP cloud solutions.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
$92,700 - $185,400 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Work a lot with GCP bigquery. Experience with gcp platform development tools Pub/sub, cloud storage, big table, big query, data flow, data proc, and composer desired. Preference would be GCP experience.
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Designing and developing large scale solutions using GCP services like GKE, Apigee, Istio, Anthos, Spanner, BigQuery, Cloud SQL, Kafka, Cloud Functions, Cloud storage, Compute Engine, and Cloud IAM.
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AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Experience in crafting data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP.
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Familiarity with GCP / BigQuery / Looker Studio. Adaptability to evolving technologies, industry best practices, and advancements in GCP/Looker Studio. Familiarity with GCP / BigQuery / Looker Studio.
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Hands-on experience with security tools, frameworks for cloud platforms (e.g., AWS, Azure, GCP), and technologies (e.g., firewalls, encryption, identity and access management, vulnerability scanning, penetration testing.
$250Full-timeExpandApply NowActive JobUpdated 1 month ago
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