Lead Analyst with 8 to 12 years of experience to join our team. The ideal candidate will have expertise in Cloud SQL BigQuery Data Transfer Service BigQuery ML and BigQuery. This hybrid role requires a strong analytical mindset to drive datadriven decisions and support our geospatial initiatives. The position operates during day shifts with no travel required. 3.Experience : 8to12Yrs 4.Required Skills : BigQueryCloud SQLBigQuery MLBigQuery Data Transfer Service 5.Nice to have skills : 6.Technology : Not Applicable 7.Shift : Day 8.Responsibilities : Lead the development and implementation of geospatial data analysis projects. Oversee the integration of geospatial data with Cloud SQL and BigQuery. Provide insights and recommendations based on geospatial data analysis. Develop and maintain data pipelines using BigQuery Data Transfer Service. Utilize BigQuery ML to create predictive models for geospatial data. Collaborate with crossfunctional teams to support datadriven decisionmaking. Ensure data accuracy and integrity in all geospatial analysis projects. Design and implement data visualization tools to present geospatial data. Conduct regular audits and updates of geospatial data to maintain relevance. Support the development of geospatial data strategies and best practices. Mentor junior analysts and provide guidance on geospatial data projects. Stay updated with the latest trends and technologies in geospatial analysis. Contribute to the companys purpose by leveraging geospatial data to solve realworld problems. Qualifications Possess strong experience in Cloud SQL and BigQuery. Demonstrate expertise in BigQuery Data Transfer Service and BigQuery ML. Have a solid understanding of geospatial data analysis and visualization. Show proficiency in developing and maintaining data pipelines. Exhibit excellent analytical and problemsolving skills. Display strong communication and collaboration abilities. Have a keen eye for detail and data accuracy. Be capable of mentoring and guiding junior team members. Stay current with industry trends and advancements in geospatial technology. Hold a relevant degree in Computer Science Data Science or a related field. Preferably have experience in a hybrid work model. Be committed to contributing to the companys mission and societal impact. Demonstrate a proactive and innovative approach to geospatial data challenges.
Data Engineer
