Job Description:
We are looking for a Senior Data Engineer with 4+ years of experience to join our data engineering team. The ideal candidate should have strong hands-on experience with Google Cloud Platform (GCP), BigQuery, PySpark, Python, and SQL.

Key Responsibilities:
Design, develop, and maintain scalable data pipelines on GCP.
Build and optimize ETL/ELT pipelines using Python, PySpark, and SQL.
Work with BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Dataproc.
Develop data transformation, processing, and integration solutions.
Optimize BigQuery queries, datasets, and data models for performance and cost.
Implement data quality, monitoring, security, and governance practices.
Troubleshoot data pipeline issues and ensure reliable data processing.
Collaborate with engineering and business teams to deliver data solutions.

Required Skills:
4+ years of experience in Data Engineering.
Robust hands-on experience with GCP.




Proficiency in Python, PySpark, and SQL.
Experience with BigQuery and Google Cloud services.
Knowledge of ETL/ELT, data pipelines, and data modeling.
Solid problem-solving and communication skills.

Good to Have:
Cloud Composer / Apache Airflow
Pub/Sub
Dataproc
Data governance and data quality
GCP certifications

Pay: ₹800,000.00 - ₹1,200,000.00 per year

Advantages:
Paid time off
Provident Fund

Application Question(s):
What is your current CTC?
What is your Expected CTC?
How many days of your Notice period?
Will it be a face-to-face interview? If so, would you be able to come ?

Experience:
Data Engineer: 5 years (Preferred)
GCP: 5 years (Preferred)

Work Location: In person

📌 Senior Data Engineer – Gcp Lalbagh
🏢 Jobbycart Technologies
📍 Lalbagh