Google Cloud Platform Developer - Data Engineering (6-8 yrs)

Key Responsibilities :

- Design and develop efficient data pipelines using GCP services like Dataflow, Dataproc, and Data Fusion.

- Extract data from various sources (databases, APIs, cloud storage) using SQL and Python.

- Transform and clean data using SQL and Python to ensure data quality and consistency.

- Load data into BigQuery for analysis and reporting.

- Design and implement data warehouse architectures, including data modeling and schema design.

- Optimize data warehouse performance and query execution.

- Monitor and maintain data warehouse health.

- Analyze large datasets using SQL and Python to uncover insights and trends.

- Collaborate with data analysts and business stakeholders to understand their requirements and provide actionable insights.

- Develop and maintain real-time data processing pipelines using tools like Dataflow and Pub/Sub.

- Implement real-time analytics and alerting systems.

- Analyze contact center data to identify trends, optimize operations, and improve customer experience.

- Develop dashboards and reports to visualize key metrics and insights.

Required Skills and Experience :

- 5+ years of experience as a Data Engineer.

- Strong proficiency in GCP services, particularly BigQuery, Dataflow, Dataproc, and Data Fusion.

- Expert knowledge of SQL and Python for data manipulation and analysis.

- Solid understanding of data warehousing concepts, ETL processes, and data modeling.

- Experience with real-time data processing and stream processing frameworks.

- Familiarity with cloud-native technologies and best practices.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration skills