Role - GCP Data Engineer with PySpark & Python expertise
Experience: 5+ Years Preferred - Data Engineering Background Location - Bangalore
Responsibilities
- 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.
- 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.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
Required Skills
- GCP DE Experience
- Big Query
- PySpark
- Python
Location - Bangalore
