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Proficiency in Databricks, with hands-on experience in developing data models and working with notebooks in SQL and Python. We have an immediate long-term opportunity with one of our prime clients for a position Lead Data Engineer to work on Remote basis.
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Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes. Relevant certifications (e.g., ITIL, AWS DevOps Engineer, Microsoft Certified: Power Platform Developer Associate, Microsoft Certified: Power BI Data Analyst Associate) will be a plus.
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Hands-on experience in Palantir & PySpark to build data pipes in AWS environments. Our client is looking for an PALANTIR - Senior Data Engineer with a Long-Term Contract in Dallas, TX (Onsite) below is the detailed requirement.
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The successful candidate has direct hands-on experience developing and testing fixed wing aircraft and/or rotorcraft, from initial concept through flight testing and certification, with the technical breadth necessary to interface with all the other engineering functions (VMS, MMS, Propulsion, ESPS, ConOps, Certification, etc.
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Hands-on experience with Snowflake, including Streams, Jobs, and cloud data warehouse implementation. Expertise with marketing tools such as Marketo, Salesforce Marketing Cloud, Google Ads API, Ads Data Hub and Adobe Campaign.
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Job Title : Data Engineer (Palantir) Write design documents and independently build the Data Pipes based on the defined source to target mappings. Total 10+ years of experience with 3 plus years of experience in data engineering/ETL ecosystems with Palantir Foundry, Python, PySpark and Java.
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As a Site Reliability Engineer on our Security Infrastructure team, you will be hands-on and have wide-ranging impact for the security of Palantir and its customers. Develop, deploy, and monitor data pipelines to provide timely, complete, and accurate security data for network defenders.
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Hands-on experience planning, configuring, supporting, and optimizing core AWS services including EC2, EBS, S3, WAF, ELB, FSx, RDS, API Gateway, Lambda and CloudFront)Hands-on experience migrating data center applications to the cloud.
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We're looking for a highly-technical, hands-on engineer, who loves to work with data plane services like Cassandra, ElasticSearch, and Kafka, and is comfortable building automation around large-scale cloud-based critical systems.
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OWASP Top 10), threat modeling, and security architecture and design Hands on experience with designing, building, and operating services in AWS Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Experience or trainings in related disciplines.
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Hands-on experience migrating data center applications to the cloud. Our data architecture is built on self-hosted SQL server along with S3, RDS, Redshift and Elasticsearch.
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NVIDIA NeMo is an open-source, scalable and cloud-native framework built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Speech AI. NeMo provides end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience.
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Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark. Responsibilities: As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib. Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
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hands on data engineer jobs in Dallas, CO, Canada
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