
Lead Data Solutions Engineer
2 days ago
As a skilled data architect and engineer, you will play a pivotal role in designing and implementing scalable data pipelines that support the growing demands of our organization.
Key responsibilities include collaborating with analytics and business teams to enhance data models, ensuring data quality, and contributing to the development of a robust data-driven culture.
- Develops and Maintains Data Infrastructure:
- Designs and implements efficient data processing systems to handle large volumes of data.
- Collaborates with cross-functional teams to integrate data from various sources.
- Ensures data accuracy and availability for key stakeholders and business processes.
- Improves Data Quality and Integrity:
- Develops and maintains processes to monitor and improve data quality.
- Collaborates with analytics and business teams to identify and resolve data-related issues.
- Contributes to Engineering Excellence:
- Writes unit tests and contributes to the engineering wiki to ensure knowledge sharing and collaboration.
Requirements:
- Strong understanding of big data technologies, including Hadoop, Spark, and Hive.
- Proficiency in Python and experience with PySpark.
- Ability to work collaboratively with cross-functional teams.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
Benefits:
- Opportunity to work with a talented team of engineers and analysts.
- Chance to contribute to the development of a robust data-driven culture.
- Competitive compensation and benefits package.
How to Apply:
Interested candidates should submit their resume and cover letter outlining their relevant experience and qualifications.
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