GCP Data Engineer (INFYSYJP00007134)

6+ Years

Need 6+ years of overall experience with 4+ years of relevant experience.

Data Pipeline Development: Build and maintain scalable, secure ETL/ELT data workflows using Big Query and other GCP services (e.g., Dataflow, Cloud Storage). [1, 2]
Extensive Experience in IT data analytics projects, Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data,Proc, Google Cloud Storage, Composer
SQL concepts, Presto SQL, Hive SQL, Python (Pandas, Numpy, Sci Py, Matplotlib) and Pyspark
Design and implement scalable data pipelines using Google Cloud Dataflow
Develop and optimize Big Query datasets for productive data analysis and reporting




Collaborate with cross-functional teams to integrate data solutions with business processes
Automate data workflows using Cloud Composer and Apache Airflow
Ensure data security and compliance with GCP Identity and Access Management
Query & Storage Optimization: Develop advanced SQL queries and design data models using partitioning, clustering, and materialized views to minimize costs and maximize performance
Implement real-time data processing with Google Cloud Pub/Sub and Dataflow
Continuously evaluate and adopt new GCP tools and technologies

GCP Biq query, Python , SQL , Airflow
Composer

11.5LPA

HYDERABAD, PUNE

📌 GCP Data Engineer (INFYS134) (India)
🏢 HORIGINE CONSULTING
📍 India