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# Data Engineers

- **Company:** Indotronix Avani Group
- **Location:** Remote, OR, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, BigQuery, Cloud Computing, Data Warehousing, Data Flow Control, Python (Programming Language), Standard Sql, Google Cloud, Sql Optimization
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/qYH1XuaadL8a3I29zFsjh1HL5vNrNvt853Ilr45TNTk

## About the Role

Bachelor's degree in Computer Science or related field, or equivalent experience; High School Diploma/GED required.

 - 2-4 years of hands-on experience building data solutions in Google Cloud Platform (GCP).
 - Proficiency in SQL and Python.
 - Expertise in Composer, Dataflow, and BigQuery.
 - Strong problem-solving and analytical abilities.
 - Excellent communication skills, with experience presenting to both technical and non-technical audiences.
 - Must be eligible to work in the United States without sponsorship.

Preferred Skills

 - Experience in healthcare or PBM industries.
 - Advanced SQL skills and experience in data warehousing.
 - Familiarity with data modeling and dimensional design.
 - Exposure to regulatory environments (HIPAA, PCI).
 - Experience working in Agile or Product Delivery teams., * 2-4 years of hands-on experience building solutions in Google Cloud Platform (GCP) * SQL * Python * GCP * Composer * BigQuery * Dataflow

## Description

Join a growing data engineering team as we build a modern, enterprise-grade data platform on Google Cloud Platform (GCP). We are seeking two intermediate Data Engineers passionate about designing scalable ELT pipelines, transforming data processes, and driving innovation. If you enjoy solving complex data challenges and want to have a direct impact on platform capabilities, this remote opportunity is for you., Design, develop, and maintain robust ELT pipelines using GCP Composer, Dataflow, and BigQuery.

 - Implement scalable data ingestion and transformation solutions in a cloud-native environment.
 - Collaborate with architects, analysts, and senior engineers to enhance the enterprise data platform.
 - Ensure high data quality, pipeline performance, and scalability.
 - Provide guidance and feedback to team members, fostering a culture of continuous improvement.
 - Translate business and technical requirements into stable, supportable software solutions.
 - Contribute to the adoption of standardized data engineering practices and documentation.