Junior Platform Data Engineer

Gemini Solutions; Gurugram District; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Gemini Solutions is seeking a Data Platform Engineer to design, build, and manage data pipelines using Apache Airflow, Python, and Kubernetes on a hybrid infrastructure. You will deploy Airflow on Kubernetes, design scalable pipelines, and orchestrate workflows across on-premises and AWS to enable seamless data movement.

Collaborate with data engineers, analysts, and DevOps to ensure reliable data flow, monitor and optimize performance, and apply CI/CD and IaC practices (Terraform) where

Qualifications

• 3–6 years of experience in data engineering or platform engineering.
• Hands-on experience with Apache Airflow and Python.
• Solid understanding of Kubernetes and container orchestration.
• Experience with hybrid infrastructure (on-premises + AWS).
• Familiarity with CI/CD and infrastructure-as-code tools (Terraform) is a plus.

Responsabilités

• Design, develop, and maintain scalable data pipelines with Airflow and Python.
• Deploy, configure, and manage Airflow on Kubernetes.
• Integrate and orchestrate workflows across hybrid infrastructure (on-premises + AWS).
• Collaborate with data engineers, analysts, and DevOps for reliable data flow.
• Monitor, troubleshoot, and optimize pipeline performance.

Connaissances

Apache Airflow

Python

Kubernetes

Hybrid infrastructure

CI/CD

Outils

Terraform

GitLab

Helm

Description du poste

• We are seeking a talented Data Platform Engineer to design, build, and manage data pipelines leveraging Apache Airflow. In this role, you will work with Python-based DAGs, orchestrate workflows on Kubernetes and enable seamless integration across on-premises and AWS cloud environments.

POSITION RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines using Apache Airflow and Python.
• Deploy, configure, and manage Airflow on Kubernetes clusters.
• Integrate and orchestrate workflows across hybrid infrastructure (on-premises and AWS).
• Collaborate closely with data engineers, analysts, and DevOps teams to ensure reliable and efficient data flow.
• Monitor, troubleshoot, and optimize pipeline performance, reliability, and scalability.

EXPERIENCE AND REQUIRED SKILL SETS

• 3–6 years of experience in data engineering or platform engineering.
• Strong hands-on expertise with Apache Airflow and Python.
• Solid understanding of Kubernetes and container orchestration.
• Proven experience working with hybrid infrastructure (on-premises + AWS).
• Familiarity with CI/CD practices and infrastructure-as-code tools (e.g., Terraform) is a plus.
• Strong problem-solving skills with the ability to work independently.

Nice to Have

• Experience with Terraform.
• Knowledge of networking concepts.
• Familiarity with GitLab.
• Experience using Helm for Kubernetes application management.