Senior Analytics Data Engineer

hace 1 día

Xico, México Agileengine, Llc. A tiempo completo
{"title": "Data Engineer for Analytics and Insights", "subtitle": "Join Agileengine, Llc. as a Data Engineer for Analytics and Insights", "content": "

About the Role

We are seeking a highly skilled Data Engineer for Analytics and Insights to join our team at Agileengine, Llc. As a Data Engineer for Analytics and Insights, you will be responsible for developing and maintaining data models to support analytics and reporting needs.

Key Responsibilities

  • Develop 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.

Requirements

  • 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.
  • 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.
  • Experience with ETL/ELT processes and tools.
  • 4+ years of hands-on experience in crafting compelling data visualizations to inform business decisions.
  • 4+ years of experience in Data Warehouse Data Modeling techniques.
  • 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.

What We Offer

  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
", "lang_code": "en-US"}

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