Data Engineer

Join Gartner as a Data Engineer and become a driving force in developing our next-generation Data Intelligence Platform. You’ll collaborate with leading data scientists and engineers to design, build, and optimize scalable data solutions that power personalization, recommendation engines, and advanced analytics. Work at the forefront of data engineering, integrating modern cloud technologies while shaping the future of data-driven decision making., Architect, implement, and maintain high-performance, scalable data models and pipelines for analytics and data science teams

• Develop, optimize, and troubleshoot complex SQL queries and data models from the ground up
• Automate data pipeline deployment and manage cloud infrastructure (AWS EMR, ECS, Glue, Kinesis, Spark)
• Integrate diverse data sources, including on-prem databases, APIs, and data harvesting tools
• Ensure database security, availability, and disaster recovery, including upgrades, backups, and migrations
• Collaborate closely with business units and data science teams to gather requirements and deliver impactful solutions
• Drive adoption of automation and Infrastructure as Code (Terraform, Jenkins, CI/CD) across the data analytics team
• Implement data governance, access control, and security risk mitigation strategies
• Continuously evaluate and integrate emerging cloud technologies to enhance capabilities and reduce operational costs

7-9 years of hands-on experience in designing cloud-based data models, ETL pipelines, and infrastructure for analytics and data science

• Expertise in SQL, data modeling, and modern relational databases
• Strong programming proficiency (Python, Java, Scala)
• Proven experience with Spark, AWS Glue, EMR, Kafka, Kinesis
• Skilled in version control (Git, Subversion) and automated build systems (CI/CD)
• Solid foundation in data structures and algorithms
• Familiarity with troubleshooting and optimizing large-scale data systems

Preferred Skills

• Experience with infrastructure automation (Terraform, Jenkins)
• Deep understanding of database performance tuning and security best practices
• Prior exposure to personalization and recommendation systems, Solution Design and Development of Cloud based data models ETL Pipelines and infrastructure for reporting analytics and data science.

Competitive compensation and comprehensive benefits package

• Opportunity to work with cutting-edge cloud and data technologies
• Collaborative, innovative, and inclusive team environment
• Clear paths for career growth and leadership development
• Access to continuous learning resources and industry conferences