Design and build scalable data systems and pipelines using SQL, GCP, and Kubernetes. Collaborate with cross-functional teams for data-driven decisions. Ensure data quality, reliability, and performance.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
📢 Hiring Post – Data Engineer (GCP | Kubernetes)
📍 Location: Pondicherry (Onsite / Open to Relocation)
💼 Experience: 4–5 Years
🚀 Role: Data Engineer
We are looking for a skilled Data Engineer to design and build scalable data systems and pipelines. The ideal candidate has strong experience in SQL, cloud platforms (GCP), and containerized environments like Kubernetes.
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🔧 Key Responsibilities
- Design, build, and maintain scalable data pipelines
- Work with structured & unstructured data using SQL
- Deploy and manage workflows on Kubernetes
- Utilize GCP services for data engineering tasks
- Collaborate with cross-functional teams for data-driven decisions
- Ensure data quality, reliability, and performance
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✅ Required Skills
- Strong hands-on experience in SQL
- Experience with Kubernetes
- Proficiency in Google Cloud Platform (GCP)
- Experience in building and optimizing data pipelines
- Good understanding of distributed systems & cloud architecture
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If you're actively looking, please share cv with nivetha.s@eminds.ai
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