Senior Data Engineer
2 weeks ago
Key Responsibilities
- Design & Build: Develop end-to-end data pipelines (ETL/ELT) to centralize and transform data from various sources.
- Data Mart Management: Design, implement, and optimize high-performing data marts for analytical and reporting needs.
- Cloud Infrastructure: Deploy and maintain scalable data solutions on cloud platforms (AWS, Azure, or GCP).
- Data Governance: Ensure data quality, security, and compliance with standards like GDPR and POPIA.
- Performance Optimization: Monitor and enhance query and pipeline performance to support analytics.
- Collaboration: Partner with analysts, data scientists, and stakeholders to align data solutions with business goals.
- Support & Maintenance: Troubleshoot and resolve data pipeline and infrastructure issues to ensure seamless operation.
Required Skills & Qualifications
- Technical Expertise:
- Advanced skills in SQL and Python for data transformation and automation.
- Proven experience in data mart design and management (e.g., star and snowflake schemas).
- Familiarity with cloud platforms like AWS (Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery).
- Hands-on experience with ETL/ELT frameworks and workflow orchestration tools (e.g., Apache Airflow, Prefect).
- Knowledge of big data tools like Apache Spark or Hive is a plus.
- Tools & Platforms:
- Strong skills in BI tools like Power BI, Tableau, or Looker.
- Experience with version control systems (e.g., Git) and CI/CD pipelines for data projects.
- Soft Skills:
- Exceptional problem-solving and troubleshooting abilities.
- Clear communication to translate technical concepts for non-technical stakeholders.
- Ability to work independently and manage multiple tasks effectively.
Why Join Us?
- Competitive Salary: Earn R840,000 per annum with room for growth.
- A Fun & Inclusive Culture: Join a welcoming team where everyone feels like family, and your contributions are celebrated.
- Long-Term Vision: Be part of an organization that values stability and invests in its people for the long haul.
- Cutting-Edge Projects: Work with modern tools and platforms to build data solutions that make a difference.
- Collaborative Environment: Enjoy open communication, teamwork, and opportunities to share your ideas and innovate.
How to Apply:
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