Posted on: 10/07/2025
Key Result Areas And Activities :
Data Pipeline Development and Maintenance :
- Design, develop, and maintain scalable data pipelines to ensure efficient data flow and processing.
- Implement ETL (Extract, Transform, Load) processes to integrate data from various sources.
Data Quality and Integrity :
- Ensure the accuracy, completeness, and reliability of data by implementing robust data validation and cleansing processes.
- Monitor data quality metrics and address any discrepancies or issues promptly.
Performance Optimization :
- Optimize data storage and retrieval processes to enhance system performance and reduce latency.
- Implement indexing, partitioning, and other techniques to improve query performance.
Collaboration and Communication :
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Communicate technical concepts and findings effectively to non-technical team members.
Security and Compliance :
- Implement data security measures to protect sensitive information and ensure compliance with relevant regulations and standards.
- Conduct regular audits and assessments to identify and mitigate potential security risks.
Essential Skills :
- Understanding of enterprise data warehousing principles of ETL/ELT and the tools/technologies used to implement them.
- Experience with Treasure Data, including designing and maintaining complex workflows.
- Strong knowledge of Dig Dag files.
- Strong knowledge of Presto SQL and Optimisation techniques.
- Experience with Python and relational databases.
- Familiarity with cloud platforms (e.g., AWS) and their data services.
Desirable Skills :
- Experience with version control systems such as Git.
- knowledge of Airflow or other orchestration tool.
Qualifications :
- Overall work experience 3+ years good focus on Treasure data.
- Technical certifications that attribute to continuous learning aspirations.
Qualities :
- Inherent curiosity and empathy for customer success.
- Obsessive about solving customer problems.
- Think long and act short.
- Collaborative with your peers, partners and your team.
- Excited about the mission and milestones not titles and hierarchies.
- Nurture an environment of experimentation and learning.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Did you find something suspicious?
Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1511058
Interview Questions for you
View All