Technical Advisor, Data Engineer - Health Systems Strengthening
Support the Government to improve data engineering and analytics.
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Overview
Support the Government to improve data engineering and analytics.
You have:
- Master's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
- Minimum of 6 years of proven experience in software or data engineering, including building and maintaining data systems and pipelines.
- Strong proficiency in SQL, with experience across relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB).
- Hands-on experience with data modeling, dimensional modeling, and ETL tools (e.g., Apache NiFi, Talend, Airflow).
- Practical experience with cloud platforms (AWS, Google Cloud, Azure) and big data frameworks (Hadoop, Apache Spark, Kafka).
- Expertise in GitOps, Kubernetes, infrastructure automation (Ansible, Terraform, Puppet/Chef), security and monitoring, and scalable platform architecture for multienvironment deployments.
- Familiarity with modern data warehousing solutions (Snowflake, Redshift, BigQuery).
- Strong analytical and problem-solving skills, attention to details, with a focus on data quality and system reliability.
- Effective collaborator with cross-functional teams, with excellent written and verbal communication skills.
Potential interview questions
| Can you describe your experience with building scalable data pipelines? | This question assesses your technical competence in data engineering and your ability to handle large-scale data challenges. | Discuss specific projects where you built data pipelines, the technologies used, and the results achieved. |
| How have you ensured data quality in your previous roles? | This question evaluates your understanding of data quality frameworks and your experience in implementing them. | Pro members can see the explanation. |
| What strategies do you utilize for cloud-based infrastructure management? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you approach the integration of data from diverse sources? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain your experience with ETL processes? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe an instance where you had to work closely with cross-functional teams. What role did you play? | Pro members can see the explanation. | Pro members can see the explanation. |
| What measures do you take to ensure compliance with data governance and security protocols? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you stay updated on emerging technologies in data engineering? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 8 months ago
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Updated 2 months ago
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Source:
clintonhealthaccess.org
