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Priceline
Dallas, TX, United States
This role is eligible for our hybrid work model: Two days in-office. DevOps Engineer Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place. Why This Job’s a Big Deal Pricel
Job Source: PricelineVeterans Sourcing Group LLC
Richardson, TX, United States
Job Title: Sr. Dev Ops Duration : 12 months Location : Richardson, TX Hybrid (Tues, Wed, Thurs) Travel Requirements : N/A Hours : Standard Prescreening Questions: (must go on top of resume) Describe your experience over the last 6+ months using infrastructure as code for automation? Describe your recent experience with Ruby or Go for backend
Job Source: Veterans Sourcing Group LLCResource Informatics Group Inc
Plano
Job Description Job Description Job Title: Dev Ops Engineer - Lead No of Positions:5 City: Plano, TX Duration:- 9 Months Visa:- USC/GC Interview:- Phone/Skype Job Description : Basic Qualifications: 2+ years experience working with AWS, specifically CloudFormation/EC2/S3 Experience using Jenkins or some other CI/CD platform Some development exp
Job Source: Resource Informatics Group IncCentral Business Solutions Inc.
Dallas, TX, United States
Position Role/Tile: Dev Ops App Automation Engineer Location: Dallas, TX. Responsibilities Ability to own the architecture of a single application or group of similar applications and oversee the execution of migration or modernization to this new cloud platform. Must be deep in CICD Pipelines including both Azure DevOps and open source technol
Job Source: Central Business Solutions Inc.CapLeo Global
Irving, TX, United States
Title: Hadoop Platform Engineer Locations: Irving, TX / Jersey City, NJ / Charlotte, NC / Newark, DE - Onsite Duration: Fulltime Hadoop Platform Engineer On-prem instance Hadoop config, performance, tuning Ability to manage very large clusters and understand scalability. Interfacing with multiple teams Many teams have self-service capabilitie
Job Source: CapLeo GlobalDiverse Lynx
Dallas, TX, United States
Job Details: Contract Position: Azure Data Engineer Location: Dallas, TX (Onsite) Job Description: ADF, Synapse, ADLS Gen2, Strong SQL skills, spark Overall IT experience: 10+ years Need a Sr Data Engineer who has 5+ years of experience in Azure native services with good exposure to ADF, Synapse, ADLS Gen2, Strong SQL skills, spark. Experience
Job Source: Diverse LynxGartner
Irving, TX, United States
About this role: Manager/Team Lead on Gartner’s Application Operations (DevOps) team. Ensure 24x7 availability for critical systems hosted in the cloud and on-premises Participate in the strategic and tactical planning of the applications and infrastructure; troubleshoot and resolve performance; perform day-to-day administrative tasks. Manage the
Job Source: GartnerQuantumbricks
Irving, TX, United States
Job Title: Hadoop Reliability Engineer SRE Role Loc: Irving, TX / Jersey City, NJ / Charlotte, NC / Newark, DE (Day 1 Onsite) Duration: Fulltime Exp: 10 Yrs Job Description [Only Independent Visa Candidates like H4 EAD/L2 EAD/GC/USC for Full Time opportunity] This is also a senior-level role, and the core skill set is HADOOP. The candid
Job Source: QuantumbricksDallas
Job Description Job Description CLIENT
As the market leader in decision management software, our client helps the world's largest companies in digitally transforming their integrated business planning, revenue management and supply chain management functions. It's platform puts the right information in front of the right people at the right time, so that everyone in a company can make smarter decisions, faster. They offer a cloud-based platform that connects the supply chain end-to-end through use of technologies like AI/ML and NLP. With a global presence across NA, Europe and Asia-Pac, the company provides services in multiple industries and to some of the biggest brands in the world. It runs as a flat organization with a very strong entrepreneurial culture (and no corporate politics).
POSITION SUMMARY
ROLE & RESPONSIBILITIES
Work with customers/technical consultants to devise and recommend big data solution architecture based on requirements
Analyze complex distributed production deployments, and make recommendations to optimize performance
Able to document and present complex architectures for the customers technical teams
Work closely with o9 Dev, Devops and project teams at all levels to help ensure the success of projects
Help design and implement Hadoop architectures and configurations for customers working with Cloud deployments
Write and produce technical documentation and manual to be provided to customer
Keep current with the Hadoop Big Data ecosystem technologies
EXPERIENCE, EXPERTISE & EDUCATION REQUIREMENTS
More than three years of DevOps experience, architecting large scale storage, data center and /or globally distributed solutions
Experience designing and deploying production large-scale Hadoop solutions
Ability to understand and translate customer requirements into technical requirements
Experience designing data queries against data in a Hadoop environment using tools such as Apache Hive, Apache Druid, Apache Phoenix or others.
Experience installing, administering and tuning multi-node Hadoop clusters
Strong experience implementing software and/or solutions in Cloud (Azure, AWS, GCP)
Strong understanding with various enterprise security solutions such as LDAP and/or Kerberos
Strong understanding of network configuration, devices, protocols, speeds and optimizations
Strong understanding of the Java development, debugging & profiling
Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP
Experience designing data queries against data in the HDFS environment using tools such as Apache Hive
Experience implementing MapReduce jobs
Solid background in Database administration and design, along with Data Modelling.
Experience in architecting data centre solutions properly selecting server and storage hardware based on performance, availability and ROI requirements
Demonstrated experience implementing big data use-cases, understanding of standard design patterns commonly used in Hadoop-based deployments.
Excellent verbal and written communications
Demonstrable experience using R and the algorithms.
Hadoop Engineer/Dev Ops Engineer jobs in Dallas
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