Big Data Engineer

Profitero is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate, and automate their next best action to fuel profitable growth. Our technology monitors 70 million products daily, across 700 retailers and 50 countries, helping brands optimize search placement, product content, pricing, stock availability, reviews, and more. News outlets, including Good Morning America, The Wall Street Journal, and Ad Age frequently cite and trust Profitero as a source of data for their stories.

Now’s an exciting time to join our fast-growth business.

Profitero has recently joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment while giving our employees an incredible launchpad for their careers. Profitero’s tech and data combined with Publicis’ tech, data, and activation services positions us to be a true end-to-end partner for helping brands maximize eCommerce market share and profits.

Come be a part of our fast-paced, entrepreneurial culture and next stage of growth.

We are inviting a Big Data Engineer to join our product team that is creating a next-generation eCommerce intelligence service for retailers and manufacturers. We will be happy to welcome new team members who are not afraid of non-trivial tasks, can offer non-standard technical solutions, and take initiative.

About the project:

As a part of the Profitero company, you will work on building an innovative Data Platform: a brand new Datamart for our customers. This Datamart is powered by Snowflake and Google Cloud, bringing together cutting-edge methods for storing, processing, and enhancing data through data science workloads. This Datamart will be used as a baseline for building up future products.

Working on a project involves the following tasks:

• Design, implementation, and support of distributed software for collecting, processing, and storing large amounts of data
• Data processing, analysis, and search for anomalies in large data arrays using the Big Data stack
• Optimization of the existing data conversion system. Study and implementation of modern data processing tools
• Close collaboration with the Infrastructure team to set up the most efficient environment from cost and performance perspective

Key responsibilities:​

• Design and development of Data pipelines
• Designing data models
• Design and build scalable and resilient Data & Analytics solutions
• Integrating solutions with other components of the system
• Engaging in proof of concepts and experiments
• Participate in overall testing and production maintenance

We expect:

• Understanding of distributed architecture features and challenges
• Strong knowledge of Python with a minimum of 2+ years of practical experience in Data Engineering
• Strong knowledge of Apache Spark and Airflow.
• Solid understanding of data models and data pipeline design

• Solid understanding of SQL
• Experience working in a containerized environment (Docker, Kubernetes)
• Working experience in an Agile environment
• Ability to speak English (B1+)
• A natural interest in modern data processing technologies and the ability to learn new things
• Passion to get into the development process quickly and deliver good quality code
• Engagement in the refinement of the product backlog with business representatives 

Nice to have:

• Experience with Snowflake is a plus
• Understanding of CI/CD and DevOps methodologies
• Understanding of Pandas
• Experience in implementing projects & solutions using Google Cloud Platform (Cloud Composer, Dataproc, GKE, GBQ, Cloud Functions, GCS)

What do we offer:

• Our vacancy implies a remote full-time work
• Vacation (20 working days per year, 100% paid)
• Health insurance reimbursement (up to 250 USD gross per year)
• Paid sick leave (80% of the daily base salary)
• 4 days for recovery without a sick leave document during the year (80% of the daily base salary)
• Individual sports activities reimbursement (50% of the check, up to 45 USD gross max per month)
• English classes reimbursement (100% of the check, up to 57 USD gross max per month)
• Professional development opportunities are reimbursed by the company
• Team-building activities