Sr Cloud ETL Developer

Key Responsibilities

• Design and build complex ETL/ELT pipelines for structured and unstructured data sources using Google Cloud Platform native services like Cloud Storage, Dataflow, and Dataproc.
• Build and orchestrate automated data pipelines using Fivetran, Google DTS, and custom ETL/ELT frameworks.
• Create robust ingestion patterns for batch and streaming data.
• Troubleshoot data integration issues, latency problems, and pipeline failures.
• Partner with application teams to integrate SaaS, on-prem, and cloud sources.
• Implement BigQuery best practices, including data modeling, partitioning, clustering, and cost/performance tuning.
• Build reusable workflow frameworks using orchestration tools like Cloud Composer and Git-based CI/CD pipelines.
• Enforce strict data validation, observability, schema handling, and reconciliation for enterprise data.
• Implement data access controls leveraging IAM, service accounts, and VPC-SC and ensure compliance with organizational and industry data standards.
• Design disaster recovery, backup, and high-availability strategies.
• Work closely with product owners, data engineers, analysts, and architects across the organization.
• Serve as a technical advisor for large enterprise reporting and integration initiatives and mentor junior engineers.

Required Qualifications

• Bachelor s degree in computer science, Information Systems, or related field.
• 6 10+ years of ETL/Data Engineering experience.
• 8-10+ years of SQL experience.
• 8+ years of experience in data architecture or data engineering.
• Strong expertise with Google Cloud Platform (BigQuery, Composer, Dataflow, Cloud Storage).
• Hands-on experience with Fivetran, Google DTS, or equivalent ingestion tools.
• Proficiency with enterprise reporting platforms (preferably MicroStrategy, plus Power BI/Tableau).
• Advanced SQL and data modeling expertise.
• Experience designing secure and governed data environments.

Preferred Qualifications

• Advanced SQL Experience.
• Advanced Stored Procedures Skill.
• Python experience for pipeline and orchestration scripting.
• Experience with cloud cost optimization and FinOps practices.
• Familiarity with streaming architectures (Pub/Sub Dataflow).
• Knowledge of data catalog tools (Dataplex, Collibra, Alation).