> Markdown version of [/jobs/ext/3586986-cloud-etl-developer](https://www.wearedevelopers.com/jobs/ext/3586986-cloud-etl-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Cloud ETL Developer

- **Company:** Indotronix Avani Group
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** BigQuery, Cloud Storage, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Flow Control, Python (Programming Language), MicroStrategy, Power BI, SQL Stored Procedures, SQL Databases, Data Streaming, Tableau (Software), Sql Optimization, Event Driven Architecture, Information Technology, Collibra, Cloud Optimization, Data Pipelines
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/DCMXLDJiaHVG2gLEB8Ax8IKV6RLlEhY5DwZd3Ajpp7k

## About the Role

Bachelor's degree in Computer Science, Information Systems, or related field.

 - 6-10+ years of hands-on ETL/Data Engineering experience.
 - 8-10+ years of advanced SQL development and data modeling expertise.
 - 8+ years of experience in data architecture for large-scale environments.
 - Proven expertise with GCP (BigQuery, Composer, Dataflow, Cloud Storage).
 - Practical experience with Fivetran, Google DTS, or similar cloud ingestion tools.
 - Skilled in enterprise reporting platforms-MicroStrategy preferred, plus Power BI/Tableau.
 - Track record in designing secure, governed, and high-performance data environments.

Preferred Skills

 - Advanced SQL and stored procedures.
 - Proficiency in Python for pipeline development and orchestration scripting.
 - Experience with cloud cost optimization and FinOps practices.
 - Familiarity with streaming architectures (Pub/Sub to Dataflow).
 - Knowledge of data catalog tools (Dataplex, Collibra, Alation)., Required QualificationsBachelor's degree in Computer Science information systems or related field6-10+ years of ETL/Data Engineering experience8-10+ years of SQL experience8+ years of experience in data architecture or data engineeringStrong expertise with GCP (BigQuery Composer data flow Cloud Storage)Hands-on experience with Fivetran Google DTS or equivalent ingestion toolsProficiency with enterprise reporting platforms (preferably MicroStrategy plus Power BI/Tableau)Advanced SQL and data modeling expertiseExperience designing secure and governed data environmentsPreferred QualificationsAdvanced SQL ExperienceAdvanced Stored Procedures SkillPython experience for pipeline and orchestration s Collibra Alation)

## Description

Join our innovative data engineering team as a Senior Cloud ETL Developer, specializing in Google Cloud Platform (GCP) and BigQuery. You'll play a pivotal role in architecting, building, and optimizing enterprise-scale data pipelines for advanced analytics and reporting. Collaborate with diverse stakeholders to deliver cloud-native, scalable, and secure data solutions in a dynamic, growth-focused environment., Design, build, and optimize robust ETL/ELT pipelines for both structured and unstructured data using GCP native services (BigQuery, Dataflow, Cloud Storage, Dataproc).

 - Develop and orchestrate automated data workflows utilizing Fivetran, Google DTS, and custom frameworks.
 - Implement advanced data modeling, partitioning, clustering, and cost/performance tuning in BigQuery.
 - Integrate a variety of data sources (SaaS, on-prem, cloud) with enterprise reporting tools such as MicroStrategy, Power BI, and Tableau.
 - Ensure high data quality, validation, observability, schema management, and reconciliation for enterprise-grade data environments.
 - Enforce data access controls, compliance standards, and security best practices using IAM, service accounts, and VPC-SC.
 - Design disaster recovery, backup, and high-availability strategies for critical data platforms.
 - Troubleshoot and resolve data integration issues, latency problems, and pipeline failures.
 - Mentor junior engineers and serve as a technical advisor for enterprise reporting and integration initiatives.
 - Collaborate with cross-functional teams including analytics, product owners, architects, and business stakeholders.