Data Engineer

Join Gartner as a Data Engineer and play a pivotal role in developing our Data Intelligence Platform. Leverage cutting-edge technologies to create scalable data solutions, support data-driven decision-making, and collaborate with cross-functional teams in a fast-paced, innovation-focused environment. This contract opportunity offers exposure to advanced cloud tools, data science initiatives, and high-impact projects with real-world business value.

Responsibilities

• Design and implement high-performance, scalable, and secure data models and solutions.
• Develop and optimize complex SQL statements and support in-application SQL performance.
• Build, automate, and deploy robust ETL pipelines and data services for analytics and data science.
• Integrate data from diverse sources, including on-premises databases, external APIs, and harvesting tools.
• Partner with business units and data science teams to understand requirements and deliver tailored solutions.
• Manage AWS resources (EMR, ECS) and continuously enhance deployment and operational processes.
• Ensure database security, availability, backup, and recovery procedures are in place.
• Support automation using Infrastructure as Code (IaC), Terraform, and CI/CD tools like Jenkins.
• Contribute to data governance, access control, and risk reduction efforts.
• Prepare clear documentation, technical specifications, and provide training on data lake ecosystems.

7-9 years of hands-on experience in designing and building cloud-based data models, ETL pipelines, and infrastructure.

• Strong command of SQL and expertise in modern relational database systems.
• Proven experience with both structured and unstructured data.
• Skilled in optimizing complex SQL queries and troubleshooting database issues.
• Proficient in Spark, Glue, EMR, Apache Kafka, AWS Kinesis.
• Familiarity with programming languages such as Java, Python, Scala.
• Experience with version control (Git, Subversion) and automated build systems (CI/CD).
• Solid understanding of data structures and algorithms.

Preferred Skills

• Experience with data governance, advanced access control, and additional AWS cloud services.
• Expertise in Infrastructure as Code (IaC) using Terraform.
• Advanced knowledge of automation and deployment best practices., Solution Design and Development of Cloud based data models ETL Pipelines and infrastructure for reporting analytics and data science

Collaborate with industry-leading experts in a dynamic, learning-oriented environment.

• Work on impactful projects with visibility across the organization.
• Access to cutting-edge cloud and data engineering technologies.
• Flexible remote work arrangements (role location: United States).
• Opportunities for skill enhancement and career advancement through challenging assignments.