Role - Senior GCP Data Engineer with PySpark & Python expertise

Experience: 8+ Years

Preferred - Data Engineering Background

Location - Bangalore

Required Skills - GCP DE Experience, Big Query, PySpark, Python

Job Requirement:

- Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP
- Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.
- Experience in some of the following: Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.
- Experience programming in Hadoop, PySpark/Python, SQL.
- Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.
- Certified in Google Skilled Data Engineer/Solution Architect is a major Advantage.

Skills Required:

- Bachelor's or Master's degree in Computer Science, Engineering or a related field.




- Design, develop, and deploy scalable ETL/ELT pipelines using PySpark on GCP.
- Utilize GCP services extensively, including BigQuery (data warehousing), Cloud Storage, Dataproc and Dataflow.
- Optimize PySpark jobs for performance and reliability, and fine-tune BigQuery queries.
- Implement complex transformations and process large volumes of structured/unstructured data using Spark SQL and PySpark.
- Build and manage automated workflows using Apache Airflow or Cloud Composer.
- Strong proficiency in Python and SQL is essential. Extensive hands-on experience with PySpark.
- Proven experience with Google Cloud Platform (GCP) services.

Notice period: Immediate, 30 days.

📌 Senior Gcp Data Engineer (Bengaluru)
🏢 Tredence
📍 Bengaluru