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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Strong knowledge of programming languages such as Python, SQL, or Scala. Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred.
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Or Java enterprise applications hosted on AWS public cloud; programming technologies including Java, Spring, Redis, Python, MongoDB and Kafka; micro-services architecture design and development including REST, Java, Spring, or other back-end technologies; Database query languages, including SQL or NoSQL technologies such as MongoDB; and statistical and analytical techniques to derive insight and patterns from large datasets at scale using SQL, Python, Snowflake, Databricks, Airflow, and Tableau.
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Experience with SharePoint Syntex / AI Builder, Snowflake, MLFlow, Forms Recognizer, Power Automate, Databricks, Azure SQL, Cognitive Services, and Azure ML. Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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Requires knowledge and background in Microsoft SSIS, MS SQL Server, and Oracle as well as awareness of the full environment technical stack of Informatica, MuleSoft, COBOL, Java, Salesforce, C# with.
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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What You'll Do:Standardize and modernize Amazon EKS platforms & AWS Serverless Suites, including all Cutting-Edge Managed Services from AWS. Provide expertise and hands on implementation of large-scale, mission critical Kubernetes workloads with High Resiliency and multi-region architecture.
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Mow, trim, edge, fertilize, and water all grass, shrubs and trees; use mower, tractor, chain saw, electric clipper, sod cutters, pruning shear, leaf blower and power washer. Operate various gas and diesel powered equipment to mow grass, edge, cut limbs, trim grass, and shrubs, remove leaves, limbs, trash, weeds, sweep, and apply sand or salt on icy pavement as needed.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
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Strong knowledge of various database technologies (SQL, NoSQL), data integration (ETL/ELT application integration) frameworks, and cloud services (AWS, Azure, GCP). Proficient in at least one programming language (Python, Java, Scala.
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Backend Development: Design, develop, and maintain server-side applications and APIs using backend technologies such as Node.js, Python/Django, Ruby on Rails, or Java/Spring. Database Management: Design database schemas, optimize queries, and manage database integrations using SQL (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB, Redis.
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As an expert in using Generative AI, particularly LLM models, and proficient in Python programming, he/she will be responsible for developing and deploying a system that can convert natural language queries to handle the use cases like building SQL query statements for searching tables in DB or searching the documents for Q&A.
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Strong experience in Python (MLlib, TensorFlow, and PyTorch). Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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Bonus: SQL, Python, Looker, PowerBI. Expert with landing page builders like Leadpages, Elementor, and Unbounce (Bonus: skilled in end-to-end marketing tools Clickfunnels, Kartra, or Infusionsoft/Keap.
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You're proficient in using automation/IaC tools such as Terraform, CloudFormation, Ansible, and scripting in Bash and Python to create and configure cloud infrastructure and can speak to how you've used these tools in your 7+ years hands-on experience.
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edge python sql jobs Company: Capital One in Texas, TX
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