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Strong experience in developing ETL pipelines using Microsoft SQL Server Integration Services, Python, and familiarity with big data/cloud databases like Google BigQuery and Snowflake.
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Experience with cloud based data services offered by Azure, AWS and Google. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Data migrations and conversions to the cloud and to cloud data warehouse services.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
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Experience leveraging a cloud data warehousing environment (Redshift, Snowflake, BigQuery) Extensive experience with Google Cloud Platform, leveraging Vertex AI and Google BigTable.
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Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes.
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Master focused in Computer Science / Machine Learning or related field Experience working with Google Cloud platform(GCP) specifically Google Kubernetes engine, Terraform, and infrastructure Experience in delivering cloud engineering product Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
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Experience with Google Cloud services: Streaming + Batch, Cloud Storage, Cloud Dataflow, DataProc, DFunc, BigQuery, BigTable. Demonstrated knowledge and experience with Google Cloud BigQuery (mandatory.
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Net Core, MVC.o Strong experience in Azure DevOps, Visual studio, SQL Server, T-SQL, SSMS, SSIS, DTSX and SSRS.o Experience with data visualization tools - SSRS, Tableau, D3, COGNOS, and Power BI.o Experience with Oracle, Teradata, Google BigQuery, Google Cloud Platform, API development is a plus.
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Automation and DevOps: Implement automation scripts and workflows using tools like Terraform, Deployment Manager, or Google Cloud Deployment Manager to automate provisioning and management of GCP resources.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
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Strong knowledge of Google BigQuery, BigTabble, BQscript, Dataproc, Cloud composer (Airflow), Vertrx ML, Spark Scala platform. Knowledgeable of Google Bigquery platform, Bigtable, BQscript, Dataproc, Cloud composer (Airflow), Vertrx ML, Spark Scala platform.
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Proficient in Cloud Architecture, preferably GCP, with expertise in ETL scripting and data migration from data center to Google Cloud. Develop Looker solutions with BigQuery or equivalent.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Experience with Google Cloud products such as BigQuery, Cloud ML Engine, and Dataflow will be a significant advantage. Implement machine learning and data engineering solutions predominantly in Google Cloud.
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