Become part of the Converse Team
Converse is a place to explore potential, break barriers and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Converse, it’s about each person bringing skills and passion to a challenging and constantly evolving world to make things better as a team.
WHO YOU’LL WORK WITH
You will report to the Data Engineering Supervisor who is based at our India Tech Center. You will work hand-in-hand with the data engineering squad and product management team along with a variety of dedicated Nike partners. You will join a highly motivated, global team that will be a driving force in building Data and Analytic solutions for the Converse Enterprise.
WHO WE ARE LOOKING FOR
We are looking for someone who is eager to grow their career in the ever-evolving world of data & analytics. The right candidate can quickly pick up new programming languages, technology concepts, and frameworks. They have strong problem-solving skills and an understanding of data structures and algorithms. They thrive in a hard-working team environment, and have an ability to both influence and communicate effectively with team members and business stakeholders alike.
Experience with relational SQL and scripting languages such as Python
Experience with source control tools such as GitHub
Knowledge of scalable, cloud data solutions, preferably AWS
A passion for data solutions and winning as a team
Minimum 1 year relevant work experience
Bachelor’s degree or equivalent combination of education, experience or training
WHAT YOU’LL WORK ON
You will build small, well-defined, reusable components of a larger data pipeline to support data analytics products with guidance from experienced peers, all while working within an agile framework that focuses on delivering incremental value.
Solve straightforward data management issues to improve overall data quality.
Clean, prepare and optimize data for ingestion and consumption
Support the implementation of new data management projects and re-structure of the current data architecture
Implement simple automated workflows using workflow scheduling tools, such as Matillion or Brickflow
Participate in design, code and test plan reviews to increase knowledge and application of best practices
Analyse and profile data for the purpose of designing components of a scalable solution
Troubleshoot straightforward data issues and perform root cause analysis to resolve product issues
HOW WE HIRE
1. Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
2. Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
3. Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
