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Further agile and DevOps practices to ensure efficient and high-quality data engineering processes. As a technical leader of our data engineering team, reporting to our Director of Business Intelligence, you’ll play a pivotal role in defining the foundation crucial for various types of analysis.
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We utilize cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. Extensive Python/React hands-on experience.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Azure Administrator Associate, Azure DevOps Engineer Expert. Hands-on experience with Azure Arm Template(ARM) , PowerShell and Shell /Bash scripting, Terraform, Python, Helm charts.
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You will utilize your deep expertise in Python, SQL, ELT processes, AWS, Redshift, and Snowflake to create and optimize data solutions that adhere to best practices in software engineering.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Mentor, lead, and train other members of the data engineering team.
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Implement CI/CD pipelines for automating data engineering processes using Azure DevOps or GitHub. Passion for staying updated on industry trends and emerging data engineering and cloud computing technologies.
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Hands-on application of technical analysis and engineering skills including FEMAP, Nastran, Creo and other engineering software packages. Ideal candidate must have the proven ability of an engineer to generate conceptual designs in response to complex performance specifications, analytically validate those conceptual designs using modern Computer Aided Engineering (CAE) software and present the results of those efforts in a clear and concise manner via technical presentations and reports to Wartech’s customers.
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SMART IT People is seeking a DevOps Engineer for a contract to hire position within our client's core infrastructure engineering team delivering next-generation shared infrastructure platform services while pursuing service management innovation as a competitive advantage.
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The engineer should exhibit proficiency in software design and implementation, emphasizing code quality, architectural expertise, and efficient management of technical debt. Vasion is looking for a Senior Software Engineer that exemplifies our core values and wants to be part of our growing team.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Work with DevOps to ensure the continuous delivery of software via the CI/CD process. Our client an innovative leader in legal education programs and services, is searching for a technology professional to fill the role of Software Engineer.
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This position is a senior technical role and will drive the IAM and Infrastructure security including Microsoft Active Directory and PKI security architecture, provide leadership to mature the security engineering program, develop security tooling, mentor others and be hands-on partner to our software, SRE and QA teams to deliver innovative and secure solutions.
$170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This role requires a highly skilled and hands-on data professional with expertise in Databricks, Azure, AWS, Kafka, and both SQL and noSQL databases. Relevant certifications in data engineering or cloud technologies (e.g., Azure Data Engineer, AWS Certified Data Analytics.
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