Data Engineer (Mexico City)

Mexico City, Mexico

Applications have closed

Rise Interactive

Rise, a Quad company, is an award-winning media agency built on more than 20 years of data-driven innovation. We're a people-first organization; we constantly advocate for our teams, our brand partners, and their audiences.

View company page

Rise Interactive (http://www.riseinteractive.com), a rapidly growing full service interactive advertising agency, is looking to hire a Software Engineer, focused on Data Management, into the Innovation team.  We are seeking a detail-oriented, highly motivated individual contributor that is excited about joining a new Innovation department and contributing professionally to an entrepreneurial company with an expanding Fortune 500 client base.

 

JOB SUMMARY

We’re looking for a Data Engineer to help us build out our marketing and analytics platforms.  Our platform processes billions of records today – and we’re just getting started.  This role is not just a research or analytical role, it is an individual contributor role that is expected to contribute to production solutions for the entire data pipeline. Our goal is to add a data engineer who is strong at building systems from scratch by communicating closely with business stakeholders and passionate about delivering the best possible product and customer experience.  

 

FUNCTIONS AND RESPONSIBILITIES

We operate a cross-functional team that specializes when needed but aims to have everyone able to contribute. Duties of the Data Engineer include:

  • Implement and optimize data processing pipelines for megabytes to terabytes of data
  • Onboard and integrate client data into our analytics platform
  • Design and build our data warehouse as well as real-time data reporting systems
  • Promote and nurture good team practices such as unit testing, code reviews, build/test automation, etc.
  • Proactively mentor and guide developers to improve their quality and simplicity in design and code
  • Design, build and use tools to understand our product platform behavior and performance
  • Design and conduct experiments to test concepts, technologies, and algorithms
  • Implement analytics tools to maximize the value of collected data
  • Implement data tests in data quality frameworks to ensure data is clean and accurate
  • Adhere to security policies and guidelines to ensure our data is protected and safe
  • Embrace and assist in evolving our Agile (Scrum) team processes and developer role responsibilities

 

EDUCATION, TRAINING, AND EXPERIENCE

Education

Bachelor's degree in computer science or equivalent field

Training

N/A

Experience

1-3 years of on-the-job experience




PREFERRED SKILLS

QUALIFICATIONS

  • Smart, high aptitude to learn new things and sense of urgency to get things done
  • Extremely strong ETL programming skills using tools like Python, Spark, PySpark, Hadoop, MapReduce, Kafka
  • Experience building data access layers via cubes, data marts, APIs, or visualization tools like Tableau or D3 
  • Practical experience with Big data and NoSQL technologies desired
  • Comfortable working with several large, complex SQL databases and SQL queries
  • Experience working in cloud-only infrastructure, especially Amazon Web Services
  • 1+ years of experience working with large amounts of real data
  • A strong passion for empirical research and answering hard questions
  • Team player – demonstrated experience on a few teams that have shipped a product
  • Professional developer – experienced with source control (Git) and bug tracking
  • Practical-minded – chooses stability/reliability/maintainability over shiny new objects
  • Passionate about technology – ideally you build things outside of work for fun 
  • Scripting skills – must be totally comfortable at the Linux command line
  • Nice to have: Expertise in applied statistics or machine learning
  • Experience delivering data products in the marketing, ad tech space is also a plus
  • Excellent English verbal and written communication skills

If you were here this month, you would have

  • Modeled web impression data into usable information
  • Created scripts to manage our cloud environment
  • Sped up an ETL process to make our users happy
  • Tried to get the top pinball score

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs Big Data Computer Science D3 Data management Data quality Data warehouse ETL Git Hadoop Kafka Linux Machine Learning NoSQL Pipelines PySpark Python Research Scrum Security Spark SQL Statistics Tableau Testing

Region: North America
Country: Mexico
Job stats:  6  1  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.