
Lead Data Engineer
3 weeks ago
Role - Lead Data Engineer
Mandatory skillset - Big Query and Looker or Python, SQL and AWS
Experience
- Data Engineer (Big Query and Looker) - 8+ years (Relevant - 6+ Years)
- Data Engineer (Python, SQL and AWS) - 7+ Yrs (Relevant - 5 Yrs)
Work Location - TVM/Kochi/Remote
NP - Immediate only
Job Purpose
We are looking for an experienced Lead Data Engineer with strong expertise in Google Big Query 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:
• Assess and enhance existing data models, pipelines, and architecture in Big Query.
• Optimize data flows and storage for performance, scalability, and cost-efficiency.
• Implement best practices in data engineering and governance.
Data Process & Structure Improvement:
• Review and improve the current data collection and transformation processes.
• Ensure high-quality, consistent, and reliable data availability.
BI Support – Dashboards & Reports:
• Enhance and maintain existing reports and dashboards using Looker.
• Design and build new reports as per evolving business requirements.
Stakeholder Collaboration:
• Work closely with business and technical stakeholders to gather data and reporting needs.
• Translate business requirements into technical deliverables.
Mentoring & Knowledge Transfer:
• Guide and mentor the client's internal developer.
• Ensure sufficient handover for long-term maintainability after project completion.
Must-Have Skills:
• Strong experience with Google Big Query – 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 Look ML 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 Big Query (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.
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