Data Platform Engineer

INFOSLAB CONSULTANCY PRIVATE LIMITED; Hyderabad; Hybrid; INR 1,100,000 - 1,500,000; Full time

Benefits offered by this job

Flexible working model

Career growth opportunities

Exposure to modern practices

Job summary

A technology consulting firm in Hyderabad is seeking an experienced Data Platform Engineer to work in a hybrid model. The role involves designing and maintaining data pipelines, collaborating with teams for integration, and implementing infrastructure as code. Candidates should have 6 to 8 years of experience with skills in Python, Scala, SQL, and AWS. This position offers opportunities for career growth and exposure to modern data engineering practices.

Qualifications

• 6 to 8 years of experience in data engineering or related fields.
• Hands-on experience in Python, Scala, and SQL.
• Familiarity with AWS and DevOps practices.
• Containerization and orchestration using Docker to support scalable pipelines.

Responsibilities

• Design, develop, and maintain robust data pipelines.
• Collaborate with teams for data integration.
• Implement infrastructure as code using Terraform.
• Manage containerized environments using Docker.
• Set up CI/CD pipelines with Jenkins.
• Optimize performance of data systems.

Skills

Python Programming

Scala

SQL

Redshift

AWS

Terraform

Jenkins

Docker

Tools

AWS

Terraform

Jenkins

Docker

Job description

Overview

Data Platform Engineer — We are hiring Data Platform Engineers for our Hyderabad Office (Hybrid Mode). Role: Data Platform Engineer | Location: Hyderabad. Work Mode: Hybrid (3 days a week). 6 to 8 years of experience; immediate joiner. For a Healthcare Data Analytics client.

Must Have Hands-on Skills

• Proficient with Python Programming, Scala, SQL, Redshift
• AWS: Experience with the AWS ecosystem
• Terraform: Good knowledge of infrastructure as code using Terraform
• Jenkins: CI/CD pipelines using Jenkins
• Docker: Containerization with Docker

Key Responsibilities

• Design, develop, and maintain robust data pipelines and platform components.
• Collaborate with cross-functional teams to ensure seamless data integration and availability.
• Implement infrastructure as code using Terraform.
• Manage containerized environments using Docker.
• Set up and maintain CI/CD pipelines with Jenkins.
• Optimize performance and scalability of data systems on AWS.
• Write clean, maintainable, and efficient code in Python and Scala.

Why Join us

• Work on cutting-edge data infrastructure that powers real-world analytics and ML initiatives.
• Collaborate in a fast-paced, innovation-driven environment.
• Get exposure to modern DevOps, IaC, and data engineering practices at scale.
• Flexible working model with strong career growth and learning opportunities.