Required Experience
- 3–4 years of professional IT/Data Engineering experience.
- At least 2+ years of strong hands-on experience with Python and SQL.
- Meaningful hands-on experience with Apache Spark/PySpark.
- Production experience with Databricks is strongly preferred.
- Practical experience with GCP data services is required.
- Experience developing production ETL/ELT pipelines.
- Experience working with large datasets and distributed data-processing systems.
- Exposure to production support and troubleshooting.

The ideal candidate should:
- Be a solid hands-on engineer rather than someone with only theoretical knowledge.
- Be comfortable switching between Databricks and GCP-oriented projects.
- Be able to understand an existing architecture and independently implement assigned components.
- Have strong debugging and problem-solving skills.
- Be comfortable learning unfamiliar technologies when required by a project.
- Have good communication skills for interaction with customers, architects, leads, and internal teams.




- Be capable of explaining technical decisions and implementation approaches.
- Write clean, maintainable, reusable, and testable code.
- Understand production reliability, security, scalability, and maintainability considerations.

The preferred candidate should have the following core combination:
Python + SQL + PySpark/Spark + Databricks + GCP + ETL/ELT

Candidates with additional exposure to:
Kafka + Airflow/Composer + BigQuery + FastAPI + Docker/GKE + dbt + AI/LLM integration

Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent relevant professional experience.

Pay: ₹509,345.68 - ₹1,867,749.33 per year

Benefits:
- Cell phone reimbursement
- Flexible schedule
- Food provided
- Internet reimbursement
- Paid sick time
- Work from home

Work Location: In person

📌 Data Engineer (Noida)
🏢 Bluethink IT Consulting
📍 Noida