Data Analytics Engineer

hace 2 semanas


Bogotá, Bogotá D.E., Colombia Within A tiempo completo
About Us

Within is a leading Performance Branding company that partners with top brands to drive business growth through innovative marketing strategies. Our integrated operating model combines creative and media, performance and brand, and across media channels to deliver results-driven solutions.

Our client teams are trained to act as trusted business partners, prioritizing client needs above all else. We foster a collaborative environment where teams work together to solve complex problems and build scalable systems.

About the Role

We are seeking a highly motivated and experienced Data Analytics Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, SQL, data warehousing platforms, ETL processes, API integrations, and dbt.

Key Responsibilities
  • Design, develop, and maintain scalable and robust ETL pipelines using Python, SQL, and other relevant technologies.
  • Work with data warehousing platforms to manage, optimize, and ensure data integrity and consistency.
  • Utilize dbt for data modeling and transformation to support analytics and data science initiatives.
  • Integrate various data sources, including third-party APIs, into our data ecosystem.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and implement solutions.
  • Monitor and ensure performance, uptime, and scalability of data systems and processes.
  • Document, test, and maintain data workflows and codebase.
  • Participate in code reviews, share knowledge, and mentor junior team members.
  • Stay updated with the latest trends in data engineering and continuously seek opportunities to innovate and optimize current processes.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Business/Finance, or a related field.
  • 4-6 years of hands-on experience in data engineering, analytics, or a similar role.
  • Proficiency in Python and SQL.
  • Experience with data warehousing platforms such as Snowflake or Google BigQuery.
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Solid understanding of ETL processes and tools (such as dbt).
  • Familiarity with dbt for data modeling and transformation.
  • Experience in integrating and working with APIs.
  • Strong analytical and problem-solving skills.
  • Effective communication skills, both written and verbal, with the ability to work in cross-functional teams.
  • Strong attention to detail and a commitment to producing high-quality results.
Preferred Requirements
  • Master's degree in a related field.
  • Experience with data visualization tools like Tableau, Power BI, or Sigma Computing.
  • Knowledge of other programming languages or tools relevant to the field.
  • Understanding of data science methodologies.


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