
Highly Skilled Data Solutions Architect
11 hours ago
As a skilled Data Engineer, you will play a pivotal role in designing and developing robust data solutions from the ground up. This is an exceptional opportunity to leverage your technical expertise in Python, PySpark, and SQL to drive impactful business outcomes.
Our ideal candidate should possess a deep understanding of core programming concepts, strong proficiency in Python and PySpark, and excellent SQL skills. They should also be able to work collaboratively with cross-functional teams to deliver scalable, reusable code frameworks that meet the evolving needs of our organization.
Key Responsibilities:
- Design and develop efficient Python and PySpark solutions for complex data processing tasks.
- Develop and maintain well-documented SQL queries for data transformation, validation, and analysis.
- Build modular, scalable code frameworks using dynamic design patterns and innovative solutioning approaches.
- Collaborate closely with data engineers, analysts, and business stakeholders to deliver high-quality solutions that meet organizational objectives.
- Implement best practices in data engineering, coding standards, and deployment to ensure seamless integration with existing systems.
Requirements:
We are seeking a highly motivated individual with a strong foundational knowledge of Python and PySpark, proficiency in SQL, and experience working with large datasets. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Additionally, we require experience with cloud data platforms (Azure, AWS, or GCP) and a strong understanding of reusable design patterns and dynamic solutioning approaches.
Furthermore, the successful candidate should possess excellent communication and collaboration skills, with the ability to effectively communicate technical ideas to both technical and non-technical stakeholders. If you are a driven and innovative problem-solver with a passion for building cutting-edge data solutions, we encourage you to apply for this exciting opportunity.
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