Develop, maintain, and optimize data pipelines, ETL workflows, and automated data processing tasks.
Support day-to-day data operations, including troubleshooting data quality issues, debugging pipeline failures, and resolving system defects.
Collaborate with business and technical teams to improve data governance, validation rules, and data accuracy across systems.
Build and maintain dashboards and reporting solutions using Power BI and other visualization tools.
Perform data cleaning, validation, reconciliation, and root-cause analysis on large datasets.
Bachelor’s or Master’s degree majoring in Computer Science, Data Science, Business Analytics, Statistics, Information Systems, or a related discipline.
Strong programming skills and understanding in Python and SQL for data processing and automation.
Strong analytical thinking, debugging, and problem-solving skills with high attention to detail.
Available to work a minimum of 2 days per week on a part-time basis
Good written and verbal English communication skills.
Self-motivated team player with strong learning ability and interest in data engineering and analytics technologies.
Candidates with relevant internship experience will be an advantage.