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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 5+ years of hands-on work in the field of software development.
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Mulesoft Integration: Hands-on experience with Mulesoft’s Anypoint Platform is a big plus. Please email your resume orUse this link to apply directly: Or email: igorkbrainsworkgroup.com Check ALL our Jobs: Keywords: java oracle sql api python javascript tidal jira servicenow confluence analyst pl/sql t-sql mulesoft anypoint ci/cd python restful postman swagger apigee.
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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. As a part of our dynamic team, you will be an Azure AI/ML Ops Engineer focused on building a robust data platform and pipelines that enable advanced analytics.
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4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools.
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Develop software systems in an Agile development environment and on AWS cloud-based platform using Python, Spark, Scala, Databricks, NEO4J, and AWS. 3+ years of hands-on experience with AWS services like S3, EC2, ECS, IAM, CloudWatch, Lambda, and other AWS services.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/Client, API GW, etc.
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Design and develop full stack mobile applications focused on health data collection, patient engagement, and digital therapeutics, using Flutter, Google Cloud Compute, Firestore, Amazon Web Services, and Python (including Flask.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica. Ability to lead large scale data projects in a cloud or cloud/ on premise hybrid model.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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hands on python data jobs Title: senior data engineer Company: Akraya Inc in Columbia, Missouri
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