Senior Cloud ETL Developer

Job Title - Senior Cloud ETL Developer

Location - Plano, TX, 5900 West Plano Parkway, 75093 (day1 onsite)

Visa - USC/-EAD-EAD

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).

Role Overview:

A Senior ETL Developer specializing in Google Cloud Platform (Google Cloud Platform) and BigQuery designs, builds, and optimizes large-scale data pipelines. This role requires advanced SQL, Python, orchestration (Airflow), and data warehousing skills to deliver scalable, reliable data solutions. This role focuses on cloud-native data architecture on Google Cloud Platform (Google Cloud Platform) while integrating enterprise reporting tools including MicroStrategy and cloud-based data movement technologies such as Fivetran and Google Data Transfer Service (DTS). The Data Architect will collaborate with business stakeholders, engineering teams, and analytics leaders to deliver scalable, reliable, and modern data platforms.

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).