AWS Storage Engineer (S3)

Tata Consultancy Services; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Tata Consultancy Services in Irving, TX is seeking a cloud/storage-focused engineer with strong AWS S3, Data Lake, and Big Data tech background to design, deploy, and optimize enterprise cloud storage platforms. You will leverage Terraform for automation, Python for tooling, and contribute to scalable analytics workloads.

Exposure to CI/CD pipelines with Jenkins, Harness or GitHub Actions is beneficial, along with a solid grasp of AWS security, IAM, encryption, and governance.

Qualifications

• Strong experience with AWS S3, Object Storage, and Data Lake architectures.
• Hands-on Big Data tech: Hadoop, HDFS, Spark, Databricks.
• Proficient in Terraform and cloud infra automation.
• Experience developing automation and tooling with Python.
• Good knowledge of CI/CD pipelines: Jenkins, Harness, GitHub Actions.
• Understanding of AWS services, networking, security, IAM, encryption, governance.
• Experience designing scalable enterprise cloud storage platforms.
• Exposure to cloud storage optimization and large-scale analytics workloads.

Skills

AWS S3

Object Storage

Data Lake architectures

Hadoop

HDFS

Spark

Databricks

Terraform

Python

CI/CD pipelines

Jenkins

GitHub Actions

Harness

Networking

Security

IAM

Encryption

Governance

Cloud storage optimization

Large-scale analytics workloads

Tools

Databricks

Job description

• Strong experience with AWS S3, Object Storage, and Data Lake architectures.
• Hands-on expertise in Big Data technologies including Hadoop, HDFS, Spark, and Databricks.
• Proficient in Infrastructure as Code (Terraform) and cloud infrastructure automation.
• Experience developing automation and operational tooling using Python.
• Good to have knowledge of CI/CD pipelines using Jenkins, Harness, GitHub Actions, or similar tools.
• Good understanding of AWS services, networking, security, IAM, encryption, and governance.
• Experience in designing, deploying, and supporting scalable enterprise cloud storage platforms.
• Preferred exposure to cloud storage optimization, and large-scale analytics workloads.