Data Engineer
hace 4 semanas
About Gartner IT
Gartner IT is a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Our culture values nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
About this Role
The Data Engineer will be responsible for designing and building Master Data Management functionality that enables better Master Data across Gartner. This role requires maintaining the highest data quality standards demanded by Gartner, utilizing multiple state-of-the-art technologies in data engineering, data operations, and data mastering in a cloud-based environment.
Key Responsibilities
• Analyze business requirements and design solutions for MDM functionality
• Build and maintain Data Pipelines using SQL and AWS technologies like Glue and Python
• Build and configure web services, pub-sub queues, and Event Driven Architecture components
• Follow best practices and industry standards while implementing Data Engineering and Mastering functions
• Engage in day-to-day data operations involving troubleshooting of data pipelines, monitoring, and maintaining job schedules
Requirements
• Strong IT professional with 3+ years of experience in cloud-based data engineering, preferably in AWS ETL
• Strong analytical and problem-solving skills
• Bachelor's degree or foreign equivalent degree in Computer Science or a related field required
• 3+ years of experience in cloud-based (AWS preferred) data engineering
• Expert-level coding skills in Python or Java
• Very good SQL and data analytics skills – ability to look at complex stored procedures, troubleshoot performance issues
• Attitude and aptitude to learn, collaborate, and work towards common goals of the MDM team
• Must be a team player
• Experience working with CI/CD tools and technologies
• Experience in PostgreSQL and cloud databases is good to have
• Experience working with AWS Glue
• Good understanding of Data Engineering fundamentals and domains
• Experience working with Stone branch scheduling engine
• Experience working with Ataccama
• Experience in Data Governance, Data Architecture, and Data Operations
• Good knowledge in cloud technology AWS, Azure, and exposure in cloud tools is good to have
What You Will Get
• Competitive compensation packages
• 23 days annual holiday and an additional day off for your birthday
• Private Medical and Dental Care
• Life and Disability Insurance
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