🚀 Urgent Hiring: Senior Data Engineer – Snowflake | Azure | Data Vault (Hybrid) 🚀
📍 Location: Bangalore, India
🕓 Work Mode: Hybrid (2–3 days onsite)
🛠️ Experience Required: 6–8 Years
🎓 Education: BE / BTech / MCA
💼 About the Role:
Sigmoid Analytics is looking for a talented and experienced Senior Data Engineer to join our dynamic team.
You will be responsible for building scalable data pipelines, designing cloud data architectures, and working on cutting-edge solutions in Snowflake and Azure environments.
If you are passionate about data engineering, cloud technologies, and modern data warehousing practices, we would love to connect! 🌟
🔥 Key Responsibilities:
- Build and maintain robust data pipelines and transformations using Snowflake and DBT.
- Implement solutions on Azure Cloud (preferred) or other major cloud platforms.
- Apply Data Vault modeling concepts to design flexible and scalable data architectures.
- Manage infrastructure using Terraform for Infrastructure-as-Code (IaC).
- Integrate cloud data sources using Fivetran or similar ingestion tools.
- Utilize AutomateDV DBT package to develop Data Vault 2.0 data warehouses.
- Contribute to system design and define cloud data architecture standards and best practices.
🎯 Must-Have Skills:
- Strong hands-on experience with Snowflake and DBT.
- Cloud expertise with Azure (preferred), AWS, or GCP.
- Proficiency with Terraform for managing cloud infrastructure.
- Experience with Fivetran or equivalent ETL/ELT tools.
- Solid understanding of Data Vault 2.0 modeling techniques.
- Familiarity with the AutomateDV DBT package.
- Strong system design and cloud data architecture skills.
🌟 Why Join Sigmoid Analytics?
- Work on innovative and scalable cloud data projects 🚀
- Hybrid working flexibility 🏢🏡
- Collaborate with a passionate and talented team 🤝
- Opportunities for professional growth and advancement 📈
📩 Interested?
Send your updated resume to 👉 [email protected]
Immediate to 30 Days joiners are highly preferred!
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