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You will also continue to contribute as a hands-on engineer. Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake.
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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with Elastic solutions or equivalent technologies.
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Strong hands-on experience coding with Java/Spring Boot and building cloud native software platforms. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, predictive and prescriptive modeling, and much more.
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Skills: ETL, Informatica, PowerCenter, Talend, DataStage, AbInitio, Large Data Sets, Orchestration, Autosys, CLead Software Engineer – ETL Informatica Developer Jersey City, NJ refontrol-M, Tivoli.
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The Role: Staff Software Engineer, Applied Cryptography. 2+ years experience with secure software that makes use of a trusted platform module (TPM), hardware security module (HSM), trusted execution environment (TEE), smartcard, and/or other similar hardware key storage mechanism.
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Hands-on experience with cloud platforms and orchestration systems such as AWS, Azure, or Google Cloud Platform, and knowledge of cloud-native services (e.g., EKS, RDS, Lamda, ECR, IAM) and (e.g. OpenTofu, Terraform, CloudFormation.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Provide direction on adoption of Cloud technologies (Redshift, Postgres, Snowflake,) and industry best practices in the field of data lakes and data warehouse architecture and modelling.
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We are looking for a Lead Software Engineer who has deep experience in creating the capabilities that turn data into meaningful connections and insights. Familiarity with machine learning algorithms and data science principles.
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Hands-on experience with Cisco IOS, Aruba, Infoblox, Network Automation, Cato SD-WAN, Meraki, and Wireless 802.11ax technologies. The ideal candidate will have expertise in managing and optimizing day to day operations and network infrastructure, with a strong focus on Cisco IOS, Cato SD-WAN, Meraki, and Wireless 802.11ax technologies.
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Hands-on experience deploying and maintaining data pipelines using Databricks or similar tools. FIDESis looking for a Data Engineer with an active Top Secret Clearance andprior Databricks experience.
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Minimum of 5 years of experience in Identity and Access Management, with at least 3 years of hands-on experience with Okta. Design, implement, and manage Identity and Access Management (IAM) solutions using Okta, focusing on SSO, SAML, OAuth, and SCIM protocols.
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4+ years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch.
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Take end to end ownership of Machine Learning-based distributed data systems - especially focused on data pipelines for data collection, validation and active learning and batch inference.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Minimum 3+ years of hands-on experience managing the packaging, deployment, configuration, and observability of modern applications(several projects as ongoing contributor.
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At Tecton , we are on a mission to bring Machine Learning to every customer and product interaction on the planet. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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machine learning software engineer hands on jobs Company: Jpmorgan Chase Co in New York
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