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Senior/Lead Analytics Data Engineer Id19406

Detalles de la oferta

.Full time | AgileEngine | Mexico Posted On 08/22/2024 Job Information City Guadalajara State/Province Jalisco 44100 IT Services Job DescriptionThis is a remote position open for candidates in the whole country.AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!What you will doDevelop and maintain data models (conceptual, logical, and physical) to support analytics and reporting needs.Create and manage data dictionaries, ER diagrams, and schema designs that align with business requirements.Collaborate with data architects and stakeholders to define data modeling standards and best practices.Utilize code (SQL, Python, etc.) and apply engineering, reporting, and visualization expertise to solve business problems. Develop scalable tools to drive automation and optimize business operations.Develop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team.Develop scalable systems to expand reporting capabilities, facilitate ad hoc analysis, and improve data-driven decision-making at all levels of the business.Work with large, complex data sets. Solve difficult data transformation problems with efficiency, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.Contribute to the establishment of standards for writing clean, organized code and documentation to streamline data and analytics workflow.Drive and promote a culture of testing, observability, and scalability with a data-driven mindset.Manage and continuously improve business user's experience with data and reporting, including KPI development, data visualization, and communication of applicable insights to audiences at varying levels of technical sophistication.Increase overall data literacy across ELC through education and advocacy.Develop partnerships with engineering, data science, and product teams to deliver on major cross-functional reporting, measurement, and testing efforts.Actively participate in ELC's diversity and inclusion agenda.Must havesBS/BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.G., Statistics, Operations Research, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience.Proven experience as a Data Engineer, with a focus on analytics and data modeling.Strong proficiency in SQL and experience with data modeling tools.Knowledge of programming languages such as Python, Java or Scala.Expertise in Google Cloud Platform (GCP) services, including BigQuery


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Fuente: Jobtome_Ppc

Requisitos

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