Data Engineering Manager
We are expanding our dynamic data engineering team and we are looking for our next Data Engineering Manager who will be responsible for managing the DataOps team, planning projects, and building data pipelines, and leveraging on large volumes of data across sources in a variety of forms. We will rely on you to build data products to extract valuable business insights.
About The Role
You will be transforming businesses all around the world in making better data-driven decisions by:
- Enhancing data collection and processing procedures and pipelines;
- Processing, cleansing, and verifying the integrity of data used for analysis;
- Developing processes, techniques, and tools to analyse and monitor model performance while ensuring data accuracy;
- Coordinating with various technical/functional teams to implement models and monitor results;
- Upholding the quality of any Company-related web products and services by testing for and resolving bugs;
- Set standards for product/process quality and monitor the team’s output;
- Recruit, mentor and coach the DataOps team;
- Be responsible for the performance management of the DataOps team; and
- Create and maintain optimal data pipeline architecture.
You will fit right into our team if you possess the following traits:
Technical excellence - You possess good engineering skills and an eye for clean, maintainable code. To you, engineering is not just coding; it involves wisdom, drive, collaboration, and methodology. There are few who view engineering as a tool—means to an end. But you view engineering as an art form in itself. You are constantly improving your craft. You take pride in your work. You write code for other humans to read (it just happens to be executable by machines!). Engineering is for the most part a conscious effort, not mere trial and error.
Problem-solving mindset - You eat challenges for breakfast. You believe that problems are made to be solved and not avoided. Often you will try many different ways instead of giving up when presented with obstacles. If you have a reputation for being a defeatist or throws the first excuse that comes in mind when presented with a challenge, this role is not for you.
Strong aptitude to learn - You will be required to learn a lot of new things. If you are aware that change makes you uncomfortable, do reconsider your career choice in technology. Technology is fast paced, fun and we have access to the latest know-how in the industry. Here at Omnilytics, you will be part of a team that continues to learn and grow in both industry knowledge and technical skills.
Requirements
- Strong computing, devops or dataops background.
- Strong proficiency in Python
- Experience in working with cloud technologies such as AWS and GCP
- Technical experience building, optimising and managing data pipelines
- At least 3 years of data engineering experience (Kubernetes, Spark, Hadoop, Apache Airflow)
- At least 1 year in managerial/lead role
Desired Skills
How to Apply
Send a copy of your resume to leon@omnilytics.co and careers@omnilytics.co
Contact Info
- Contact Email: careers@omnilytics.co
- Company Website: http://www.omnilytics.co
