GCP Data Engineer

GCP Data Engineer

Experience- 6 years to 8 years

Notice period- August joiners

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 Professional 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.