Position: Data Engineer
Experience: 5–10 Years
Location: Bangalore
Work Location: Bangalore to Bangalore only
Joining: Immediate Joiners Only
Role Overview
We are looking for an experienced Data Engineer with strong hands-on expertise in Kubernetes, Docker, ADF, Databricks, and Python. The candidate will be responsible for developing, maintaining, and optimizing data engineering solutions and data pipelines.
Mandatory Skills
Robust hands-on experience in Data Engineering
Kubernetes – Mandatory
Docker – Mandatory
Azure Data Factory (ADF)
Databricks
Python
Robust understanding of data pipelines and data processing
Experience working with cloud-based data engineering platforms
Valuable to Have
Apache Airflow
Experience with workflow orchestration and scheduling
Knowledge of modern data engineering practices
Key Responsibilities
Design, develop, and maintain scalable data pipelines.
Develop and optimize data processing workflows using ADF and Databricks.
Write efficient and reusable Python code for data engineering solutions.
Deploy and manage data engineering applications using Docker and Kubernetes.
Troubleshoot pipeline, data processing, and application issues.
Collaborate with data, analytics, and business teams to deliver reliable data solutions.
Ensure data pipelines are scalable, reliable, and maintainable.
Monitor and improve the performance of data processing workflows.
Candidate Requirements
5–10 years of relevant Data Engineering experience.
Strong hands-on experience with Kubernetes and Docker is mandatory.
Experience with ADF, Databricks, and Python is required.
Immediate joiner only.
Bangalore-to-Bangalore candidates only.
This is a pure Data Engineer role; DevOps-only profiles will not be considered.