We are looking for a Data Engineer with strong Databricks and GCP experience to build scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

The mandatory requirements are 5+ years of hands-on Databricks and PySpark experience, advanced SQL skills, strong GCP and BigQuery knowledge, and experience with Delta Lake and lakehouse architectures.

RECRUITMENT PROCESS

1. Application — Share a few details about your experience and background.

2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.

3. Video Interview — Record a short video introduction in English.

4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

5. Offer — If it’s a match, you’ll receive an offer.

WHAT YOU’LL GAIN
- Remote work — Work from where you feel most productive.
- Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
- Competitive compensation in INR — Receive compensation in INR, plus support for learning,



education, and wellness.
- Exciting projects — Work with modern technologies for global clients and fast-growing companies.

MUST HAVES
- 5+ years of strong hands-on experience with Databricks and PySpark.
- Advanced SQL and data-processing skills.
- Hands-on experience with GCP, particularly BigQuery.
- Experience with Delta Lake and modern data lake/lakehouse architectures.
- Solid understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
- Experience building reliable, scalable, production-grade data solutions.
- Strong analytical and troubleshooting skills.
- Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.
- Upper-intermediate English level.

NICE TO HAVES
- Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions.
- Experience applyin

📌 Data Engineer (India)
🏢 AgileEngine
📍 India