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Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure.
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GCP Cloud data implementation projects experience (Dataflow, AirFlow, BigQuery, Cloud Storage, Cloud Build, Cloud Run, etc. Understanding of the GCP ecosystem with a focus on Big Query, and DataFlow.
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Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense. Our preferred requirements: Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense.
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Experience and good understanding of GCP processing/DevOPs/Machine Learning. Leverage latest ML/Gen AI/GCP/AIOPs/Kubernetes technologies. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science/AI/ML platform.
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Collaborate with the Finance or MP&L Application owners and the Ingestion team to “Land” and “Transform” the data in the Data warehouse on GCP BigQuery. Create data warehouse objects of raw data, and Analytical Model objects which are data products of customized data environments in GCP BigQuery (Data Warehouse), crafted to facilitate access of the information, with the goal of supporting scalable growth, sustainability, reusability, faster analytical solutioning and to accelerate delivery of business value.
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Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau. Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS.
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Experience with Google Cloud Platform (GCP). The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. Experience with Airflow (Astronomer.
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Proficiency in CI/CD practices and Git toolsExperience Required:knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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2+ year of experience with the following: o GCP Cloud data implementation projects experience (Dataflow, AirFlow, BigQuery, Cloud Storage, Cloud Build, Cloud Run, etc.) Understanding of the GCP ecosystem with a focus on Big Query, DataFlow.
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Hands-on experience in advanced Java, PCF, and GCP to support Production issues. GCP Technical Lead. Fix PCF and GCP Production issues within SLA. Convert existing PCF interfaces to GCP.
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Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to drive more informed business decisions through data. 1+ years of experience in GCP and either Big Query or Vertex AI.
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Integrate Postgres in the GCP database, ensuring seamless data storage and retrieval. Proficient and hands-on coding experience in Java, Microservices, Spring Boot, API , Apache Kafka , Google Cloud Apigee API , GCP Cloud, Development in cloud environments.
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3 years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Dataproc, Big Table, Google Cloud Storage, Data Fusion, Dataflow, etc. 5+ years of data Engineering experience developing applications in Python 2+ years of experience in building AI/Client models using Vertex AI GCP experience in building data warehouse systems with ability to understand ETL principles and write complex sql queries.
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Within the BTS practice we serve renewable energy clients that develop, build, own, and operate renewable energy projects, such as wind, solar, battery storage, geothermal, biomass, and fuel cell projects.
$63,420 - $144,300 a yearFull-timeExpandApply NowActive JobUpdated Today
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