Onward Group | Jobs | Big Data Engineer | BigDataKB.com | 01-02-22

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Job Location: Bangalore

From 5 to 10 year(s) of experience
โ‚น Not Disclosed by Recruiter

Bangalore/Bengaluru

1. Should be available to work on rotational shift

2. Hands-on exp working on back-end languages like Python/NodeJS/Java etc [2+ yrs]

3. Developing database scripts using MySQL/Postgres/DynamoDB etc [2+ yrs]

4. Working experience and good understanding of various AWS Cloud Services [3+ yrs]

5. Knowledge on Terraform scripts for Infra setup will be an advantage

6. Knowledge on Serverless technologies like Docker, AWS EKS etc

7. Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, AWS CloudTrail, Datadog and Elastic Search

8. Knowledge on DevOps automation – Orchestration/Configuration Management and CI/CD tools (Jenkins, GitLab runner etc)

9. Version Control: Working experience with one or more version control platforms like GitHub or GitLab

10. Networking: Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB) and high availability architecture

11. Demonstrate successful experience learning new technologies quickly

Role:

Data / Big Data Testing Engineer

Salary:

Not Disclosed by Recruiter

Industry:

IT Services & Consulting

Functional Area:

Engineering – Software

Role Category:

Quality Assurance and Testing

Employment Type:

Full Time, Permanent

Education
UG:

BCA in Computers,B.Sc in Computers, Electronics, General,B.Tech/B.E. in Electronics/Telecommunication, Computers, Electrical

PG:

CS in CS,MS/M.Sc(Science) in Data Informatics, Electronics & Embedded Technology, Computers, Electrical Engineering, Electronics

Company Profile

Onward Technologies Limited
For large global companies, Onward Technologies is the services provider who can help translate your vision into reality with high-end capabilities and flawless execution across the Engineering Services and the Digital Transformation suite, Embedded Systems, data analytics, data science, Artificial Intelligence (AI) and Machine Learning (ML).

Apply Here

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