GCP Data Engineering professional

• Design, develop, and implement data pipelines using GCP services such as BigQuery, Pub/Sub, and Cloud Storage.

• Collaborate with cross-functional teams to identify and prioritize project requirements.

• Develop and maintain large-scale data processing systems using Python and Pyspark.

• Ensure data quality and integrity by implementing robust testing and validation frameworks.

• Optimize data flow and performance by analyzing system logs and identifying bottlenecks.

• Participate in code reviews to ensure adherence to coding standards and best practices.

Job Requirements

• Strong proficiency in Python programming language and its ecosystem.

• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.

• Knowledge of cloud-based platforms such as GCP, AWS, or Azure.

• Excellent problem-solving skills and attention to detail.

• Ability to work collaboratively in a fast-paced environment.

• Strong understanding of data engineering principles and design patterns.

About Company

Zensar Technologies is a leading technology company that specializes in designing and developing innovative solutions for complex business problems. We are committed to delivering high-quality products and services that meet the needs of our customers.

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.