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# Data Engineer

- **Company:** Indotronix Avani Group
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Databases, Information Engineering, Data Governance, Web Scraping, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Recommender Systems, Scala (Programming Language), Search Technologies, Subversion, Database Optimization, Git, Terraform, Software Version Control
- **Published:** October 6, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/N0hGbCz2DrtswpHIAnJbSxFF9P9nUGYtEKZHy0jVrm0

## About the Role

7-9 years' experience designing and developing cloud-based data models and ETL pipelines

 - Advanced proficiency in SQL and modern relational databases
 - Strong experience with Spark, AWS Glue, EMR, and data streaming tools (Kafka, Kinesis)
 - Hands-on expertise with version control (Git, Subversion) and CI/CD systems
 - Proficient in Java, Python, and Scala
 - Solid knowledge of data structures, algorithms, and database optimization
 - Demonstrated experience with database configuration, cluster orchestration, and troubleshooting

Preferred Skills

 - Experience in deploying personalization and recommendation systems
 - Familiarity with advanced search technologies and data harvesting
 - Knowledge of Infrastructure as Code with Terraform
 - Exposure to data governance frameworks in large-scale environments, Design and Development of Cloud based data models ETL pipelines Solution

## Description

Join Gartner as a Data Engineer supporting our Data Intelligence Platform. Drive innovation by developing scalable data models, building advanced data pipelines, and partnering with cross-functional teams to deliver intelligence-driven solutions. This hands-on role offers exposure to the latest AWS cloud technologies, personalized recommendation engines, and impactful data science initiatives., Architect, design, and implement high-performance, scalable data solutions tailored to business needs

 - Build, optimize, and automate ETL pipelines and data applications for advanced analytics and reporting
 - Create and refine data models from scratch using advanced SQL techniques
 - Integrate structured and unstructured data from diverse internal and external sources via APIs and harvesting tools
 - Ensure optimal database performance, security, and availability, including upgrades, backups, and migrations
 - Collaborate with business units and data science teams to translate requirements into actionable data solutions
 - Manage and enhance AWS resources (EMR, ECS, Glue, Kinesis) for efficient application deployment
 - Support automation using Infrastructure as Code (Terraform) and CI/CD tools (Jenkins)
 - Champion best practices in data governance, access control, and cloud technology adoption
 - Troubleshoot and resolve database and application performance issues