
At BigThinkCode, our technology solves complex problems. We are looking for talented Data engineer to join our Data team at Chennai.
Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.
Company: BigThinkCode Technologies
URL: https://www.bigthinkcode.com/
Work location: Chennai (work from office)
Experience required: 3-5 years
Work location: Chennai
Joining time: Immediate – 4 weeks
Work Mode: Work from office (Hybrid)
About the role: We are looking for a skilled Data Engineer with hands-on expertise in Dagster orchestration, modern data pipeline development, and Medallion architecture implementation. The ideal candidate will design, build, and optimize scalable data pipelines with strong SQL proficiency, data modelling expertise.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Dagster.
- Build and manage Dagster components such as:
o Ops / Assets
o Schedules
o Sensors
o Jobs
o Resource definitions
- Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers).
- Write optimized and production-grade SQL scripts for transformations and data validation.
Must Have
- 3+ years of experience in Data Engineering.
- Strong hands-on experience with Dagster and workflow orchestration.
- Solid understanding of data pipeline design patterns.
- Experience implementing Medallion Architecture.
- Advanced SQL skills (complex joins, CTEs, performance tuning).
- Experience working with GCP cloud data platform.
Why Join Us:
- Collaborative work environment.
- Exposure to modern tools and scalable application architectures.
- Medical cover for employee and eligible dependents.
- Tax beneficial salary structure.
- Comprehensive leave policy
- Competency development training programs.

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One of the fastest-growing SaaS companies in the CRM space,it empowers organizations with the power of automation. More than 1700 customers with 2 lakhs+ users across the globe utilize the platform to automate their sales and marketing processes and run high-velocity sales at scale.
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