DataOps Engineer - Product Owner
Synapse Junction|Posted 5 days ago
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Skills and experience
Location and salary
Role description
We're seeking a versatile professional to fill a unique role combining DataOps Engineering, Product Ownership, and Data Engineering at Synapse Junction. You'll be responsible for managing end-to-end data pipelines, articulating product vision, and designing complex data solutions. With 2-6 years of experience, you'll earn between R20,000 - R50,000 monthly.
In this role, you'll manage the end-to-end process of delivering dataops solutions to our external clients, together with a team of developers which may include data-translators data engineers and data scientists. On a daily basis you will manage product backlog, communicate with stakeholders, and maximize product value. Your Data Engineering skills will be crucial in designing scalable data solutions and implementing data management practices.
We're looking for someone proficient in data orchestration tools, cloud platforms, and scripting languages. You should have strong business analysis skills, expertise in Agile methodologies, and the ability to solve complex technical problems. Join our team to drive innovation, collaborate across departments, and shape the future of data-driven solutions at Synapse Junction.
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About Synapse Junction
What we do
At Synapse Junction, we unite business and technology to unlock the true potential of your data. Our mission focuses on delivering expertise in Business Intelligence (BI), Machine Learning, and DataOps, bridging the gap between your business needs and innovative solutions.
Why work for us
Join a dynamic team of 15 professionals dedicated to pushing the boundaries of data strategy and analytics. We offer opportunities for professional growth, collaboration on cutting-edge projects, and the chance to make a significant impact in the field of data science and technology.
Our culture
We foster a collaborative environment that values innovation and teamwork. Inspired by the principles of "Good to Great," we believe in building strong partnerships that drive success and creativity, ensuring that every team member contributes to our collective goals.
Our engineering process
Our engineering practices emphasize Agile methodologies and DataOps, promoting efficiency and adaptability in our workflows. We leverage modern technologies and frameworks to ensure seamless collaboration and high-quality deliverables, enabling us to respond quickly to evolving business needs.
Our hiring process
We follow a structured interview process designed to assess both technical skills and cultural fit. Candidates can expect a combination of technical assessments and collaborative discussions with team members, ensuring that we find the right talent to join our innovative team.