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The design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Proficiency in SQL, Python, R, or similar languages, with a focus on leveraging out-of-the-box solutions.
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Minimum 4 years of experience on working with cloud-based services such as Azure & DevOps, Socket Programming. Understanding of scripting languages like PowerShell, Python, or Bash. Support requirement definition for Azure and AWS architectural standards for cloud infrastructure.
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Experience with CIS and AWS/Azure security frameworks. Experience with data gathering, system, and process automation/orchestration via Python, PowerShell, Ruby, or other scripting languages.
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Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch). Skills Preferred : Experience with cloud platforms (e.g., AWS, Azure, GCP). Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch.
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Extensive experience with statistical tools and packages such as Python, R, SAS and methods to incorporate statistical results into analyses. Minimum of 2 years of experience working with large datasets in AWS, Azure, or GCP environments.
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Experience with a relevant programming language, like Python, R, or Rust. Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP. Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud.
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Demonstrating experience in using Spark or Azure Databricks Platform, Databricks Delta Lake; Demonstrating proficiency in developing batch and streaming application using Python; Performing in development language environments e.g. C#, Python, Java, or equivalent and applying analytical methods to large and complex datasets leveraging one of those languages.
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5 years of hands-on experience in Python, SQL, Object oriented programming and unit testingExperience with data integration with APIs, Web services, QueuesExperience with Azure DevOps and CI/CD as well as agile tools and processes including JIRA, confluence.
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Highly proficient in programming languages, such as SQL, Java, Python, Node. Note: Candidate must have more experience in AWS more than azure and must have good experience in java. Well-versed in Microservices, Service Oriented Architecture (SOA.
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Manage code using GitHub and Azure DevOps. Familiarity with GitHub and Azure DevOps. Develop, test, and implement infrastructure-as-code using PowerShell, JavaScript, bash, YAML, REST APIs, JSON, Python, and Ruby.
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Utilize programming languages like Java, Python, Go and/or Spark as well as NoSQL databases, Container Orchestration services (Docker, Kubernetes) and a variety of Azure tools and services.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark, and experience with Generative AI models like GANs, Transformers, and Diffusion Models. Experience integrating ML solutions with cloud platforms like AWS SageMaker, GCP Vertex AI, Azure Cognitive Services and leveraging their pre-built capabilities.
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