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, effective, 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.
Robust problem-solving and analytical skills.Role & responsibilities

Preferred candidate profile

📌 Gcp Data Engineer,bigquery,data Flow ,data Proc,java Maharashtra
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📍 Maharashtra