Cloud ETL Developer

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.

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)

Partial remote flexibility in a collaborative, fast-paced environment.

• Exposure to industry-leading data technologies and enterprise-scale projects.
• Opportunities for career advancement, technical leadership, and continued learning.
• Work with a team of high-caliber data professionals and thought leaders.