DataOps Engineer

 Engineer for DataOps

South Africa

We are seeking a really skilled DataOps Engineer to join our team at Takealot.com, South Africa's top online retailer.

We are a young, energetic, hyper-growth firm looking for intelligent, innovative, diligent, and honest individuals to join our team!

Have you ever felt challenged? Consider this!

Over 4 million contented customers make online purchases on takealot.com. Demonstrate your abilities to them.

Learn: The best of the best is who we collaborate with, plus a few more. Work with industry leaders and learn new skills in record time.

Increase: Advance your career in the expanding Takealot Group, which includes Mr D and takealot.com. We want to promote from within; this is your chance.

the tech world's key players

The Data Platform Engineering Manager is the supervisor of this position.

By establishing consistent delivery and change management of data, data models, and associated artifacts, our DataOps Team aims to provide value more quickly. With suitable levels of governance, DataOps uses technology to automate the creation, deployment, and management of data delivery. It also employs metadata to increase the usability and value of data in a changing environment. Takealot is expanding rapidly, presenting a number of intriguing and uncommon difficulties. There is a lot of room to influence the data culture, tools, and technologies in the business because data is expanding rapidly inside the company.

Should you decide to accept it, your task is as follows:

Chef manages virtual servers, while Terraform manages Cloud Infrastructure.

Manage and optimize Cloudsql instances in the Google Cloud Platform

developing and implementing systems for metrics, monitoring, and logging

Kafka, Kubernetes, and other operations

CI/CD build systems to guarantee that our teams can release often and securely

Code review and administration

strengthening servers and integrating security into the platform.

Creating automation, sometimes utilizing AI, so that we may concentrate on the difficult issues

The implementation of features, technologies, and procedures that advance us toward industry best practices, enhance scalability, efficiency, dependability, and security.

Responding to emergencies and requests

The talents we need

loves technology and stays abreast of industry developments

Constantly learning

Does it work as a team player and on its own?

exceptional interpersonal abilities

Demonstrates good judgment and decision-making

Possesses a thorough knowledge of database engines

Having faith in his/her talent and competence

Experience and Credentials

At least three years of DataOps expertise in a software/technology setting, along with a bachelor's degree or advanced diploma in information systems, computer science, mathematics, or engineering, are prerequisites.

A candidate must fulfill an equivalent experience requirement, which is at least six years of DataOps experience in a software/technology environment, if they do not hold a bachelor's degree or an advanced diploma in mathematics, computer science, information systems, or engineering.

Knowing the basics of computer science, such as networking, operating systems, and Linux.

A strong understanding of the foundations of development, including algorithms and data structures

capable of writing code (ideally in Python)

Experience using open source relational database systems such MySQL and PostgreSQL

Having practical experience with additional database systems, such as BigQuery, Redis, and ElasticSearch, would be advantageous.

Has worked with Kafka, PubSub, or other event-based platforms

has prior experience with Google Cloud or another cloud vendor (architecture, operations).

Understands the costs and effects of scaling

Has experience managing Kubernetes Clusters (certificates, users, kubeadm, kubectl, etc.).

has a thorough understanding of networking (tcp/ip, calico/weave, vlans, tcpdump, routing, etc.).

Has a thorough understanding of Linux, including kernel tuning, proc filesystem, cgroups, OS scheduling, and more.

Has experience using Build Systems (Jenkins, Gitlab, Spinnaker).

Has a good grasp of networking (TCP, UDP, IP).

Linux administration (Processes, Networking, Storage, Security) experience

Has experience with a minimum of one configuration management system (Chef, Puppet, Ansible).

Have expertise managing manufacturing systems:APPLY