Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in technologies such as PySpark, Databricks, and Google Cloud Platform (GCP). As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data analytics and business intelligence initiatives.

Key Responsibilities:

• Develop and maintain robust data pipelines using PySpark and Databricks to ensure efficient data processing and transformation.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets.
• Implement data integration solutions on Google Cloud Platform, ensuring data availability and reliability.
• Monitor and optimize data workflows for performance and scalability.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data processes and maintain data quality standards.

Required Skills:

• Proficiency in PySpark and Databricks for data processing and analytics.
• Experience with Google Cloud Platform (GCP) services related to data engineering.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
• Problem-solving skills and attention to detail.

If you are passionate about data engineering and eager to work in a fast-paced environment, we encourage you to apply. Join us in leveraging data to drive business success.