Lead Data Engineer - ETL/SQL

We are looking for an experienced Lead Data Engineer with strong expertise in Google BigQuery and
working knowledge of Looker to support a data modernization engagement. The candidate will lead
efforts in revamping data architecture, optimizing data pipelines, and supporting reporting needs,
while mentoring an internal client developer to enable smooth transition post-engagement.

Job Description / Duties and Responsibilities :

Data Architecture & Engineering :

- Optimize data flows and storage for performance, scalability, and cost-efficiency.

- Implement best practices in data engineering and governance.

Data Process & Structure Improvement :

- Ensure high-quality, consistent, and reliable data availability.

BI Support Dashboards & Reports :

- Design and build new reports as per evolving business requirements.

Stakeholder Collaboration :

- Translate business requirements into technical deliverables.

Mentoring & Knowledge Transfer :

- Ensure sufficient handover for long-term maintainability after project completion.

Must-Have Skills :

- Strong experience with Google BigQuery data modeling, query optimization, performance
tuning.

- Proficient in building and managing data pipelines and ETL/ELT workflows.

- Solid SQL skills and experience working with large datasets.

- Experience with Looker creating/modifying dashboards and LookML understanding.

- Experience with version control (e.g., Git) and CI/CD for data solutions.

- Ability to work in Agile environments and with remote teams.

Good-to-Have Skills :

- Exposure to GCP services beyond BigQuery (e.g., Dataflow, Cloud Functions).

Soft Skills :

- Excellent communication and interpersonal skills.

- Proven ability to work independently in a client-facing role.

- Experience in mentoring or coaching team members is a plus.

- To adhere to the Information Security Management policies and procedures.