Data Engineer (Mexico City)

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Rise Interactive

Posted:

December 12, 2022

Onsite

Job Commitment

Full-time

Experience Level

Mid Level

Workplace Type

Onsite

Job Function

Dev & Engineering

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

We are seeking a detail-oriented and highly motivated individual to join our Innovation team as a Software Engineer, focused on Data Management. As a Data Engineer, you will play a crucial role in building and optimizing our marketing and analytics platforms. This is an individual contributor role that involves collaborating closely with business stakeholders to develop production solutions for the entire data pipeline. We are looking for someone who is passionate about delivering the best possible product and customer experience, and who has strong skills in ETL programming and data access tools such as Python, Spark, PySpark, Hadoop, MapReduce, and Kafka.

Responsibilities

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

Requirements

Bachelor's degree in computer science or equivalent field
1-3 years of on-the-job experience
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 and processing pipelines for large volumes of data
Onboarding and integrating client data into analytics platforms
Designing and building data warehouses and real-time data reporting systems
Promoting and nurturing good team practices such as unit testing, code reviews, build/test automation, etc.
Mentoring and guiding developers to improve quality and simplicity in design and code
Designing, building, and using tools to understand product platform behavior and performance
Designing and conducting experiments to test concepts, technologies, and algorithms
Implementing analytics tools to maximize the value of collected data
Implementing data tests in data quality frameworks to ensure clean and accurate data
Adhering to security policies and guidelines to protect data
Familiarity with Agile (Scrum) team processes and developer role responsibilities.

Benefits

Competitive salary and benefits package
Opportunity to work in a rapidly growing full-service interactive advertising agency
Chance to join a new Innovation department and contribute to an expanding Fortune 500 client base
Ability to work on building marketing and analytics platforms
Opportunity to work with billions of records and contribute to the entire data pipeline
Chance to communicate closely with business stakeholders and deliver the best possible product and customer experience
Ability to implement and optimize data processing pipelines
Opportunity to onboard and integrate client data into the analytics platform
Chance to design and build data warehouse and real-time data reporting systems
Ability to promote and nurture good team practices such as unit testing, code reviews, and build/test automation
Opportunity to mentor and guide developers to improve their quality and simplicity in design and code
Chance to design, build, and use tools to understand product platform behavior and performance
Ability to design and conduct experiments to test concepts, technologies, and algorithms
Opportunity to implement analytics tools to maximize the value of collected data
Chance to implement data tests in data quality frameworks to ensure clean and accurate data
Ability to adhere to security policies and guidelines to protect data
Opportunity to evolve Agile (Scrum) team processes and developer role responsibilities
Chance to work with smart and high aptitude individuals in a collaborative team environment
Opportunity to work with ETL programming tools like Python, Spark, PySpark, Hadoop, MapReduce, and Kafka
Chance to gain practical experience with Big data and NoSQL technologies
Ability to work with large, complex SQL databases and SQL queries
Opportunity to work in a cloud-only infrastructure, especially Amazon Web Services
Chance to work with large amounts of real data
Ability to contribute to empirical research and answer hard questions
Opportunity to work in a team and ship a product
Chance to work with source control (Git) and bug tracking
Ability to prioritize stability, reliability, and maintainability over new technologies
Opportunity to showcase passion for technology and build things outside of work
Chance to utilize scripting skills and work at the Linux command line
Nice to have: Expertise in applied statistics or machine learning
Nice to have: Experience delivering data products in the marketing, ad tech space
Excellent English verbal and written communication skills

Learn more about Rise Interactive employee perks and benefits.

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