Bangalore, Karnataka, India
Information Technology
Full-Time
MagellanicCloud
Overview
What You'll Do
- DevOps & Cloud Architecture : Design, implement, and maintain robust and scalable DevOps practices and infrastructure on Google Cloud Platform (GCP).
- Data Pipeline Development : Build, optimize, and manage efficient ETL (Extract, Transform, Load) processes to handle large datasets, ensuring data integrity and accessibility.
- SQL & DataOps : Utilize your strong knowledge of SQL to manage databases and implement DataOps methodologies to enhance the entire data lifecycle, from ingestion to consumption.
- Automation & Efficiency : Drive automation initiatives across development, operations, and data workflows to improve efficiency, reliability, and speed.
- Collaboration : Work closely with cross-functional teams, including developers, data scientists, and analysts, to understand requirements and deliver integrated solutions.
- Monitoring & Optimization : Implement monitoring solutions to ensure the health and performance of data pipelines and infrastructure, identifying areas for continuous improvement.
- Problem Solving : Apply your strong problem-solving mindset to troubleshoot complex technical issues and propose effective We're Looking For :
- Experience : 6-8 years of hands-on experience in DevOps and/or Data Engineering roles.
- DevOps Expertise : Strong expertise in DevOps tools and best practices.
- Cloud Platform : Proven experience with Google Cloud Platform (GCP) services relevant to DevOps and data.
- Data Proficiency : Solid knowledge of SQL, ETL processes, and DataOps methodologies.
- Analytical Tools (Plus) : Exposure to BI tools is a significant advantage.
- Soft Skills : A collaborative spirit and a growth-driven attitude.
- Problem Solving : Demonstrated strong problem-solving capabilities
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