Senior Data Engineer

SUMMARY:
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POSITION INFO:

Job Specifics:

• This is a remote role, open to applicants that reside in Africa or South Africa.
• Travel may be required from time to time, expenses will be covered by the company.

About the Client:

Our client, a dynamic and forward-thinking global organization, is on a mission to drive innovation and shape the future of technology in Africa and beyond. They are seeking a talented Senior Data Engineer to join their team and contribute to their exciting journey. If you're looking to take the lead in cutting-edge data projects and work in an environment that values innovation and growth, this might be the perfect role for you.

About the Role:

As a Senior Data Engineer, you will lead the design, development, and maintenance of scalable data pipelines and architectures. Your role will be pivotal in driving the strategic direction of data initiatives, working closely with cross-functional teams, and ensuring the successful implementation of cloud-based solutions. Youll bring your expertise in tools like Databricks, Python, and PySpark, and your experience with cloud platforms (AWS, Azure, GCP) to the forefront of data engineering projects.

Key Responsibilities:

1. Lead the design and maintenance of scalable data pipelines.
2. Architect efficient and modern data solutions.
3. Develop and optimize ETL workflows for diverse data sources.
4. Utilize big data technologies for distributed data processing.
5. Deploy and manage cloud-based data solutions.
6. Oversee data quality, governance, and security measures.
7. Mentor junior and mid-level data engineers.

What the opportunity offers:

This opportunity provides you with the chance to work with a company that is making significant strides in the global technology landscape. You will join a collaborative environment that values innovation and professional growth, and where your contributions will make a real impact.

Qualifications:

• Proven experience as a Senior Data Engineer or similar role.
• Hands-on experience with big data technologies and cloud platforms.
• Strong problem-solving and analytical skills.
• Excellent understanding of data engineering principles and practices.
• Ability to mentor and guide junior team members.