Senior Data Engineer-GCP

Location: Kolkata

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

Budget - 23.5 LPA

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:

- Bachelors or Masters 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.
- Solid proficiency in and SQL is essential.
- Extensive hands-on experience with PySpark.
- Proven experience with Google Cloud Platform (GCP) services.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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