Key Responsibilities

- Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
- Build and optimize ETL/ELT workflows using Dataflow, Dataproc, and Python.
- Develop and manage data models, datasets, and queries in BigQuery.
- Implement batch and streaming data processing solutions.
- Write clean, efficient, and maintainable code in Python and Java.
- Monitor, troubleshoot, and improve data pipeline performance and reliability.
- Collaborate with data analysts, data scientists, and application development teams to meet business requirements.
- Ensure data quality, governance, and security standards are followed.

Required Skills

- Strong experience with Google Cloud Platform (GCP).
- Hands-on experience with BigQuery,



Dataflow, and Dataproc.
- Proficiency in Python for data engineering and automation.
- Experience with Java for application or data processing development.
- Positive understanding of SQL, data warehousing, ETL/ELT concepts, and distributed data processing.
- Familiarity with Apache Beam, Spark, Hadoop, or related big data technologies.
- Knowledge of version control systems such as Git.
- Strong problem-solving and analytical skills.Role & responsibilities

Preferred candidate profile

📌 Gcp Data Engineer,Bigquery,Data flow ,data PROC,Java (Maharashtra)
🏢 Coders Brain
📍 Maharashtra