Tech Support Data Engineer
Johannesburg, Gauteng, South Africa - Remote
Boldr
Your ultimate guide to building global teams through ethical outsourcing. Let us enhance your business by connecting you with hidden talent.A LITTLE BIT ABOUT Boldr
- Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world.
- We are a global team, united by our desire to connect diverse people with common values for boldr impact.
- We employ just over a thousand team members across five countries and we want to employ over 5,000 people by 2027, if not sooner.
LET’S START WITH OUR VALUES
- Meaningful connections start with AUTHENTICITY
- We do our best work by being CURIOUS
- We grow by remaining DYNAMIC
- Our success combines AMBITIOUS VISION with OPERATIONAL EXCELLENCE
- At the heart of great partnerships we’ll always find EMPATHY
WHAT IS YOUR ROLE
This role is part of the team of Customer Engineers in Professional Services, and we’re seeking highly talented individuals to join and grow our team. This is the intersection where the product has to meet customer needs and create value.
You are a customer-facing data engineer who loves to see technology and data used in ways that ensure our projects’ and customers' success. You have great attention to detail and are very proactive in seeking potential roadblocks to success. You have great people skills and know how to manage the trust and expectations of a customer.
WHY DO WE WANT YOU
We are currently looking for impact-driven individuals who are passionate in helping Boldr grow and achieve our Purpose. We expect our Team to become our ultimate partners to success by always giving their 110% in everything, sharing their talents and quirks, and championing our core values: Curious, Dynamic and Authentic.
WHAT WILL YOU DO
- Customer Engineers are the customer facing technical owners of our existing customer relationships and data driven deliverables on the company’s platform.
- You will work hands-on with our technology stack and collaborate with several teams such as Product Engineering and Customer Engagement in order to deliver on all customer technical requests. You will be responsible for regularly interacting with our customers to gather requirements (e.g. weekly meetings, email, etc), and for scoping and prioritizing the incoming work. This can include:
- Designing Solutions - translate business requirements into technical solutions using SQL, scripting, codebase configurations, etc
- Setting up ETL pipelines across disparate data sources, and creating a unified Data Model
- Setting up/enabling new product features & ingest/export integrations
- Implementing the company’s platform and its various components for our new customers
- Helping answer customer questions, and troubleshooting where necessary
- Participating in the on-call rotation
- You will also be:
- Finding out sustainable ways of addressing repeatable issues, and building tools for automation
- Contributing with documentation and building our customer specific configuration knowledge base
- A source of feedback for our product team, full stack and backend engineering teams
Requirements
WHAT WE’LL LIKE ABOUT YOU
YOU ARE…
- Curious and authentic, just like us! #beboldr
- An analytical and critical thinker, with an eye for even the most minute of details
- Passionate about client satisfaction
YOU HAVE…
- BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management or similar
- 2+ years in a technical role that involves managing and manipulating large data sets, such as ETL, Data Warehousing, Analytics, Data Science etc.
- 2+ years in a client-facing role that involves being a point-of-contact for technical and non-technical users
- Proficient in one programming language and working knowledge of SQL and Unix command line tools
- Working Knowledge of Github, and AWS infrastructure
- Excellent problem solving skills
- Strong Communication skills
- Improvement mindset, through processes, tools and/ or documentation
- Strong professionalism & work ethic
- Nice to have:
- Working knowledge of Java and/or Scala
- Marketing technology industry & relevant vendor knowledge
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data Warehousing Economics Engineering ETL GitHub Java Mathematics Pipelines Scala SQL Statistics
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