Cloud Engineer/Architect with Big Data Experience

Posted 8 Days Ago
Be an Early Applicant
Noida, Gautam Buddha Nagar, Uttar Pradesh
Entry level
Big Data • Information Technology • Other
The Role
A Cloud Architect responsible for designing and implementing cloud-based infrastructure and applications, with a focus on security, scalability, and availability. Responsibilities include designing cloud-native applications, implementing automation tools, ensuring security and compliance, and working with big data technologies like Hadoop and Spark.
Summary Generated by Built In

An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives. Come join the excellence!

Overview

A Cloud Architect is responsible for designing and implementing cloud-based infrastructure and applications. This includes tasks such as designing, and implementing security and compliance measures, and ensuring the scalability and availability of the systems. The responsibilities include creating and maintaining documentation, such as architecture diagrams and system documentation, to ensure that other teams are able to understand and maintain the systems. Additional responsibilities include leading and mentoring other teams and ensuring that the company's architecture aligns with industry best practices.

Responsibilities

1. Strong understanding of cloud services and how to architect infrastructure and cloud native applications on the platform with one or more major cloud providers such as AWS, Azure, or GCP.
2. Experience with automation and configuration management tools such as Terraform, CloudFormation, and Ansible.
3. Knowledge of security and compliance best practices for cloud-based systems and experience implementing them on cloud.
4. Strong understanding of networking concepts and experience configuring and maintaining network infrastructure on cloud.
5. Experience with containerization and container orchestration tools such as Docker and Kubernetes.
6. Strong analytical and problem-solving skills, and experience with performance tuning and troubleshooting in a cloud/hybrid environment.
7. Experience with programming or scripting languages such as Python, Java, or Bash.
8. Strong written and verbal communication skills, and the ability to work effectively in a team environment.
9. Certifications in cloud technologies (such as AWS, Azure, or GCP) is a plus.
10. Experience with Big Data technologies such as Hadoop, Spark, and Hive is required.
11. Programming skills in languages such as Python, Java or Scala is a plus


Qualifications

  • B.E./B.Tech in Computer Science or related Fields.
  • Certification in AWS or Big Data Technologies is a plus.
  • Experience in AWS & Big Data Technonologies is a must.

If you are passionate about technology, love personal growth and opportunity, come see what TNS is all about!

TNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Top Skills

Bash
Java
Python
The Company
HQ: Reston, VA
1,433 Employees
On-site Workplace
Year Founded: 1990

What We Do

Transaction Network Services (TNS) is a leading global provider of data communications and interoperability solutions. Our global network and innovative value-added services enable transactions and the exchange of information to many of the world’s leading retailers, banks, payment processors, financial institutions and telecommunication firms. Founded in 1990 in the United States, TNS has grown steadily and now provides services to customers in over 60 countries across the Americas, Europe and the Asia Pacific region, with our reach extending to many more. TNS has designed and implemented a global data network which supports a variety of widely accepted communications protocols and is designed to be scalable and accessible by multiple methods.

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