Lead Data Engineer

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 onlyJob 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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