Data Engineer
2 weeks ago
About the Role
Gartner is seeking an experienced Cloud Data Engineer to join our Data Engineering team. As a Cloud Data Engineer, you will be responsible for designing, building, and maintaining scalable cloud-based data pipelines to support our business needs. This role is a key member of the Data Engineering team, working closely with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities:
- Design and implement cloud-based data pipelines using AWS EMR, Spark, and Python.
- Collaborate with data scientists and engineers to develop and maintain data lake and warehouse architectures.
- Participate in agile development methodologies, working closely with the development team to deliver high-quality data solutions.
- Maintain service levels and department goals for problem resolution.
- Develop and maintain documentation for data pipelines and architectures.
Requirements:
- 2-4 years of experience in data engineering, API development, or related fields.
- Demonstrated experience in data engineering, including experience with cloud platforms, big data technologies, and data analytics.
- Proficiency in SQL and cloud-based databases.
- Experience with Agile development methodologies and version control systems.
About Gartner
Gartner is a leading research and advisory company that provides critical insights to business leaders to make informed decisions. We pride ourselves on our commitment to excellence, innovation, and customer satisfaction. Our team is passionate about using data and technology to drive business growth and improvement.
What We Offer
We offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data engineering, we encourage you to apply for this exciting opportunity.
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