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 strong 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 robust 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 qualified experience.

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

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

Work Location: In person

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