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Senior/Lead Analytics Data Engineer ID19406

hace 2 meses

Bogotá, Bogotá D.E., Colombia AgileEngine A tiempo completo
About the Role

We are seeking a highly skilled Senior/Lead Analytics Data Engineer to join our team at AgileEngine. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems to support business intelligence and analytics needs.

Key Responsibilities
  • Data Modeling and Design
    • Develop and maintain conceptual, logical, and physical data models to support analytics and reporting needs.
    • Create and manage data dictionaries, ER diagrams, and schema designs that align with business requirements.
  • Data Engineering and Development
    • 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.
  • Team Leadership and Mentorship
    • Develop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team.
  • Business Intelligence and Analytics
    • 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.
  • Standards and Best Practices
    • Contribute to the establishment of standards for writing clean, organized code and documentation to streamline data and analytics workflow.
  • Culture and Diversity
    • Drive and promote a culture of testing, observability, and scalability with a data-driven mindset.
    • Actively participate in AgileEngine's diversity and inclusion agenda.
Requirements
  • Education
    • BS/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.
  • Experience
    • Proven experience as a Data Engineer, with a focus on analytics and data modeling.
    • 4+ years of experience in Data Warehouse Data Modeling techniques.
    • Strong proficiency in SQL and experience with data modeling tools.
    • Knowledge of programming languages such as Python, Java, or Scala.
    • 4+ years of hands-on experience in crafting compelling data visualizations to inform business decisions.
    • Expertise in Google Cloud Platform (GCP) services, including BigQuery.
    • Experience with ETL/ELT processes and tools.
    • Track record of delivering data-driven products and insights as well as influencing product and engineering decisions.
    • Experience in analyzing, validating, and transforming large datasets.
    • Familiarity with data governance, data quality, and data security best practices.
    • Proficiency in deploying data-intensive solutions. Solid understanding of the software development lifecycle.
  • Language
    • Upper-intermediate English level.
Nice to Have
  • Experience with DataPlex
  • Experience with analytics software such as Looker, PowerBI, Tableau, or similar open-source tools.