Data Engineer

Tech3pillars Technologies; Virginia; On-site; USD 110,000 - 160,000; Full time

Job summary

Tech3pillars Technologies seeks a Data Engineering & Reporting Developer (GCP) to design and maintain scalable data pipelines on Google Cloud Platform, enabling analytics and business operations.

The role emphasizes transforming data with BigQuery, Looker dashboards, and robust data quality controls, delivering executive-ready insights and proactive stakeholder updates while supporting production releases.

Qualifications

• Experience designing and maintaining scalable data pipelines on GCP.
• Proficiency with BigQuery and data transformation workflows.
• Strong Looker dashboard development and data visualization skills.
• Experience implementing data quality controls, validation, and monitoring.
• Familiarity with Release Management and production support workflows.

Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform to support analytics, reporting, and business operations.
• Build and manage data ingestion frameworks for integrating structured and unstructured data from multiple enterprise sources.
• Implement data quality controls, validation rules, and monitoring processes to ensure data accuracy and reliability.
• Develop and optimize data transformation workflows using BigQuery and modern cloud data engineering practices.
• Drive BigQuery cost and performance optimization through query tuning, partitioning, clustering, and workload management.
• Design, develop, and optimize Looker dashboards and reports, transforming complex data into actionable insights for stakeholders.
• Create effective data visualizations and analytics solutions that support operational and executive decisions.
• Monitor and optimize dashboard performance for scalability and responsiveness.
• Provide proactive client communication, status updates, risk identification, and timely escalation without follow-ups.
• Provide bi-weekly production release support, including deployment coordination and release validation.

Skills

SQL

Python

ETL/ELT development

Data visualization

Agile delivery

Cross-functional collaboration

Release management

Production support

Cost & performance optimization

GCP

Tools

GCP

BigQuery

Cloud Storage

Dataflow

Looker

Job description

Data Engineering & Reporting Developer (GCP)

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) to support analytics, reporting, and business operations.
• Build and manage data ingestion frameworks for integrating structured and unstructured data from multiple enterprise sources.
• Implement data quality controls, validation rules, and monitoring processes to ensure data accuracy, completeness, and reliability.
• Develop and optimize data transformation workflows using BigQuery and modern cloud data engineering practices.
• Drive BigQuery cost and performance optimization through query tuning, partitioning, clustering, and workload management.
• Design, develop, and optimize Looker (mandatory skill) dashboards and reports, transforming complex data into actionable insights, KPI visibility, and executive-ready analytics for business stakeholders
• Create effective data visualizations and analytics solutions that enable operational and executive decision-making.
• Monitor and optimize dashboard performance, ensuring scalability, responsiveness, and a seamless user experience.
• Demonstrate strong client communication skills, providing proactive status updates, risk identification, and timely escalation management without requiring follow-ups.
• Provide bi-weekly production release support, including deployment coordination, release validation, and stakeholder communication.
• Perform post-deployment metrics monitoring, participate in incident triage, root cause analysis, and issue resolution while driving continuous improvement and operational excellence.

Preferred Skills

• GCP (BigQuery, Cloud Storage, Dataflow)
• Looker, BI Reporting & Data Visualization
• SQL, Python, ETL/ELT Development
• Contact Center domain understanding
• Experience supporting Contact Center Analytics, Customer Experience (CX), or Enterprise Reporting platforms.
• Release Management, Production Support
• Agile Delivery and Cross-Functional Collaboration