What are the responsibilities and job description for the Data Engineer position at Cloudious LLC?
Job Description
Job Description
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 data-driven decisions and support our geospatial initiatives. The position operates during day shifts with no travel required. 3.Experience : 8to12Yrs 4.Required Skills : ,BigQuery,Cloud SQL,BigQuery ML,BigQuery 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 cross-functional teams to support data-driven decision-making. - 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 real-world 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 problem-solving 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.
