Data Engineering Lead for National Security Data Analytics
1 month ago
About the Role
We are seeking an experienced data engineering lead to join our team at the Centre for Strategic Infocomm Technologies. As a senior data engineer, you will play a key role in designing and building high-performance data pipelines and systems that support national security data analytics.
Key Responsibilities
- Design and Build Scalable Data Pipelines: Design and build data pipelines that are scalable, robust, and maintainable to ingest crucial data using cutting-edge platforms and technologies.
- Work with Stakeholders: Collaborate with product managers, engineering managers, and key stakeholders to deliver impactful data products that meet our business needs.
- Optimize Performance: Optimize performance of large-scale data pipelines for low-latency, high-throughput, and reliability.
- Data Integrity and Governance: Ensure data integrity, quality, and governance through robust design and operational monitoring.
- Troubleshoot Complex Issues: Troubleshoot and resolve complex issues in critical data pipelines.
- Implement Best Practices: Implement best practices in data engineering, including testing, orchestration, and monitoring of data pipelines.
- Lead Technical Discussions: Lead technical discussions with the team and key stakeholders to shape the future of our data products.
- Mentor Junior Engineers: Mentor junior data engineers and contribute to building a strong data engineering culture within the team.
About You
To be successful in this role, you should have a bachelor's degree in computer science or equivalent and 5+ years of experience in data engineering, with a strong focus on building large-scale data pipelines. You should also have proven experience in writing optimized ETL code to handle large datasets and be proficient in programming languages such as Scala or Java.
Requirements
- Bachelor's degree in computer science or equivalent.
- 5+ years of experience in data engineering, with a strong focus on building large-scale data pipelines.
- Proven experience in writing optimized ETL code to handle large datasets.
- Proficient in programming languages such as Scala or Java.
- Familiarity with technologies such as Spark, Kafka, Hadoop, Elastic stack, Kudu.
- Strong understanding of modern data architectures and data modelling paradigms.
- Able to communicate technical details effectively and clearly.
- Good interpersonal, analytical, and problem-solving skills to get things done in a dynamic environment.
About Our Team
Our team is passionate about working with cutting-edge technologies and delivering high-quality results. We value innovation, collaboration, and continuous learning. If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply.
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