Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and maintaining data pipelines and architectures that support our data analytics and business intelligence initiatives. As a Senior Data Engineer, you will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is robust, scalable, and efficient.

Key Responsibilities:

• Design and implement data pipelines using GCP technologies, ensuring data is collected, processed, and stored efficiently.
• Utilize BigQuery for data analysis and reporting, optimizing queries for performance and cost.
• Develop and maintain ETL processes using tools such as PySpark and DBT to transform raw data into actionable insights.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Monitor and troubleshoot data pipeline performance, implementing improvements as necessary.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Stay updated with the latest industry trends and technologies in data engineering and cloud computing.

Required Skills:

• Strong experience with Google Cloud Platform (GCP) and its data services.
• Proficiency in SQL for data manipulation and analysis.
• Experience with BigQuery for data warehousing and analytics.
• Knowledge of PySpark for big data processing.
• Familiarity with DBT for data transformation and modeling.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate effectively with team members and stakeholders.

If you are passionate about data engineering and want to make a significant impact in a fast-paced environment, we encourage you to apply for this exciting opportunity.