In the last nine years, Prodigy Education has grown from 3,000 local users to more than 100 million registered users worldwide. As one of the fastest-growing ed-tech startups in North America with global impact, Prodigy connects students, parents, teachers, and school districts with resources that promote a lifelong love of learning. Anyone with an internet connection is welcome to create a free account for its renowned Math Game and try an effective and engaging math platform for grades 1 to 8. For more information visitwww.prodigygame.com, or @ProdigyGame on Twitter.
At Prodigy Education, we have an incredible team that works tirelessly to turn our goal of making education a human right into a reality. We are immensely grateful for our amazing team and all they do every day. We welcome people who share our passion to join our team, where you will have the opportunity to help an entire generation of students to LOVE learning.
Our passion is our mission - to help every student in the world love learning!Please note: During the Covid-19 pandemic, in order to keep all our candidates safe, Prodigy is hiring and on-boarding 100% remotely for the time being.
Overview:
- Here at Prodigy, we are working hard to achieve our mission of helping every child in the world to LOVE learning. Our Data team is scaling rapidly as we continue to hit our product and growth milestones, and it’s an exciting time for the company! Our data team is responsible for all aspects of data ingestion, storage, transformation, and analyzation using modern tools and environments such as Spark, Airflow, Snowflake, Periscope, Kinesis, AWS. You will be working alongside our development and data science teams to help build and manage all of our data pipelines, focusing on our Financial, Marketing, and Sales data.
Your Impact:
- Create and manage key business data pipelines
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data acquisition, data-related technical issues and other analytics needs.
- Work cross-functionally to explore and propose solutions to business problems that can be addressed using insights from data.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Support the development of new solutions for batch, real-time data, and analytics use cases that align with business requirements
- Maintain and troubleshoot the infrastructure built for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement process improvements: automate manual processes, optimize data delivery, improve data reliability, efficiency, and quality, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into student learning, customer acquisition, operational efficiency, and other key metrics.
Who You Are:
- Working familiarity with a variety of different storage mechanisms including SQL amp; NoSQL databases, Data Warehouses, and Data Lakes.
- Experience working with AWS Cloud platforms and related systems
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience with big data tools: Databricks, Spark, Kafka, etc.
- Experience with data pipeline and workflow management tools, such as Airflow
- Experience with real-time data processing andstream-processing systems: Kinesis, Spark-Streaming, etc.
- Experience in requirements analysis, design, implementation, and testing of software solutions, especially data related, using Python, Scala, and/or other programming languages.
- A successful history of manipulating, processing and extracting value from large disconnected datasets, especially related to Financial, Marketing, and Sales data.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience implementing backend Data APIs using NodeJS, Python, or other programming languages
- Strong project management, organizational and communication skills.
- University degree in Engineering, Computer Science, Stats, Mathematics. Graduate degree in Data Science related discipline is a strong asset
Our Core Technologies:
- Data tools: Kinesis, Lambda, Kubernetes, ECS
- Storage: S3, Snowflake, Delta, Postgres Aurora,DynamoDB
- Coding World amp; Libraries: Python, Javascript (Node.JS), Spark
- Platforms: AWS, Persicope, Databricks.
What We Offer:
- The opportunity to build a career of value and witness first hand the impact Prodigy has as the most engaging math platform in the world!
- A culture of transparency, where team members are involved in important