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
- Strong 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
Good 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.