Software Data Engineer at Takealot · Cape Town

takealot.com, South Africa’s leading online retailer, is looking for a highly talented Software Data Engineer with solid coding experience and knowledge of software engineering principles to join our team. We are a young, dynamic, hyper growth company looking for smart, creative, hard-working people with integrity to join us! Think you’ve been challenged before? Think again! Scale: 4 million happy shoppers shop online on takealot.com. Show them what you can do. Learn: We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time. Grow: Expand your career in the fast-growing Takealot Group: takealot.com, Mr D & TFS. We like to promote from within: Here’s your chance. Who’s who in the tech space This position reports to the Engineering Manager Your mission, should you choose to accept it: Designing, developing, testing, and maintaining data architectures. Preparing data for descriptive, predictive and prescriptive modeling Automating repetitive tasks and manual processes related to ingesting data into our lakehouse environment Optimizing data delivery for downstream applications Designing, developing, and testing large stream data pipelines to ingest, aggregate, clean, and distribute data models ready for analysis Ensuring the highest standard in data integrity Leveraging best practices in continuous integration and delivery Collaborating with other engineers, ML experts, analysts, and stakeholders to produce the most efficient and valuable solutions Contributing to our data democratization and literacy vision by making accessible and easy-to-use data products and tools Implementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and security Operations and ownership of systems in production, responding to incidents The skills we need: Works well with people and is passionate about helping people be their best Is a team player, an active listener, mentor, and able to communicate well Shows solid reasoning and decision making, with the ability to work under pressure Is passionate about technology, systems and data Is curious, always learning, and keeping up to date with the industry Has a deep understanding of data pipelining, streaming, and Big Data technologies, methods, patterns, and techniques. Has a solid grasp on data modeling, schema design, data warehouse, and data lake design and implementation Can troubleshoot complex database operations and performance issues Can automate tasks using shell scripting or writing small applications Qualifications & Experience: Bachelor’s Degree or Advanced Diploma in Information Systems, Computer Science, Mathematics, Engineering and a minimum of 4 years experience in a software/technology environment is required. In the event that a candidate does not have a Bachelor’s Degree or an Advanced Diploma (in Information Systems, Computer Science, Mathematics, or Engineering), an equivalent experience requirement must be met, which equates to a minimum of 6 years experience in a software/technology environment. Solid coding experience (we use Java and Python) to integrate with APIs and webhooks. Experience with open source relational database systems (e.g. MySQL, PostgreSQL, etc.) Significant technical experience and a proven track record of data modeling and schema design A thorough understanding of database and data warehousing principles (e.g. Data Mesh, OLAP, Data Marts, Star Schema, Snowflake, etc.) Familiar with CI/CD tools such as Jenkins, Gitlab and Github Actions, etc. Experience with Kafka, PubSub, or other event-based systems Experience with stream data pipeline frameworks or solutions such as Datastream, Apache Flink, Apache Beam, Storm, Databricks, etc. Experience with data warehousing, data lakes, lambda/kappa architectures Experience working in cloud environments (GCP or any Google tooling is preferred) Experience working with containerisation frameworks, tools and platforms (e.g. Docker, Kubernetes, GKE, etc.). Familiarity with Data Mesh architecture and methodologies Experience with managing and provisioning infrastructure using Terraform or similar tools. Let’s talk about life @ Takealot Group The power is in your hands: We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs. Go on, be the master of your own destiny. Free subscription to takealotMORE No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab and make something great. Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds. Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best, by learning from the best. Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera and more. Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times). Staff discount. Millions of products across 28 departments. What more could you ask for? Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it. Right tools, right job: Mac or Windows, two monitors or one. Whatever your preference, you’ll work on the latest tech, off the latest tech. Help when you need it most: Confidential counseling, legal support and financial guidance, for free, anytime, anywhere. Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes and all things machine learning. If you build it, they will come. Free parking: No more 5km fun runs to your desk (unless you want to). Like what you see? If you meet the above you are an Extraordinary Mind. Apply today!! Takealot is an Equal Opportunity Employer. Applicants from the previously disadvantaged groups and people with disabilities will be given preference.