dfcs Technologies
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KubernetesExperience in Openshift V5
Assisting the team in the installation
Orchestration in Kubernetes
Assisting database team
Have experience in Linux
Writing Ansible Playbook
Continuous Integrations in Jenkins
Hands-on experience in Scripting, preferably Python.
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• Key Skillset: -
• Advanced SQL Skills and good Communication Skills are mandatory.
• Develop and execute detailed Data warehouse related functional, integration and regression test cases, and documentation
• Prioritize testing tasks based on goals and risks of projects and ensure testing milestones, activities and tasks are completed as scheduled.
• Develop and Design Datawarehouse testcases, scenarios, and scripts to ensure quality Data warehouse /BI applications.
• Report the status of test planning, defects and execution activities, including regular status updates to the project team.
• Hands on Experience on any SQL Too
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- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
- data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
DockerKubernetes
Amazon Web Services (AWS)- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
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