1500000 - 2200000 INR - Yearly
Gurugram, Haryana, India
Information Technology
Full-Time
CoffeeBeans
Overview
Role Overview
We're looking for experienced Data Engineers who can independently design, build, and manage scalable data platforms. You'll work directly with clients and internal teams to develop robust data pipelines that support analytics, AI/ML, and operational systems.
You’ll also play a mentorship role and help establish strong engineering practices across our data projects.
Key Responsibilities
We're looking for experienced Data Engineers who can independently design, build, and manage scalable data platforms. You'll work directly with clients and internal teams to develop robust data pipelines that support analytics, AI/ML, and operational systems.
You’ll also play a mentorship role and help establish strong engineering practices across our data projects.
Key Responsibilities
- Design and develop large-scale, distributed data pipelines (batch and streaming)
- Implement scalable data models, warehouses/lakehouses, and data lakes
- Translate business requirements into technical data solutions
- Optimize data pipelines for performance and reliability
- Ensure code is clean, modular, tested, and documented
- Contribute to architecture, tooling decisions, and platform setup
- Review code/design and mentor junior engineers
- Strong programming skills in Python and advanced SQL
- Solid grasp of ETL/ELT, data modeling (OLTP & OLAP), and stream processing
- Hands-on experience with frameworks like Apache Spark, Flink, etc.
- Experience with orchestration tools like Airflow
- Familiarity with CI/CD pipelines and Git
- Ability to debug and scale data pipelines in production
- Experience with cloud platforms (AWS preferred, GCP or Azure also fine)
- Exposure to Databricks, dbt, or similar tools
- Understanding of data governance, quality frameworks, and observability
- Certifications (e.g., AWS Data Analytics, Solutions Architect, Databricks) are a bonus
- Problem-solver with strong analytical skills and attention to detail
- Fast learner who can adapt across tools, tech stacks, and domains
- Comfortable working in fast-paced, client-facing environments
- Willingness to travel within India when required
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