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Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer. Are you ready to take your data engineering career to the next level.
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As a MLOps Engineering, you will design, deploy, and maintain cloud infrastructure with infrastructure-as-code ( IaC ) tools such as Terraform, AWS CDK. We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML) , and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
$150ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Enterprise scale knowledge of data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
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They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. Sonar Technician, Submarine (STS) STSs specialize in underwater acoustic technologies.
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Solid knowledge of database systems, such as MongoDB, MySQL, or PostgreSQL cloud platforms (AWS, Azure, GCP). Role : Java Architect. Dear Java Architect, Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Database Management: Utilize your expertise in NoSQL databases (such as MongoDB, Cassandra, or Couchbase) to design, implement, and optimize data models and access patterns. Familiarity with DevOps practices, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Experience developing data engineering and ML pipelines in Databricks. Build CI/CD pipelines for ML models, AI products and data engineering pipelines with an emphasis on automated testing, version control, documentation and monitoring.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for someone with experience with AWS Client and AI tooling, along with distributed computing tools such as DataBricks, Comprehend, and SageMaker; data visualization. Machine Learning: The data scientist is familiar with machine learning algorithms and techniques, understanding supervised and unsupervised learning, feature engineering, model evaluation, and optimization.
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Work closely with our data engineering and data science teams to design and optimize data pipelines and ensure efficient and reliable data processing. Collaborating with data engineering and data science teams to understand data requirements and design optimal data pipelines.
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aws architect data engineering jobs Title: management engineer in Parsippany, NJ
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