Data Analytics Engineer
Summary
Builds SQL and Python ETL pipelines, automates regulatory reports, and delivers data insights for a fintech company.
About the role
We are looking for a Data Analytics Engineer to support data processing, regulatory reporting, automation, and business analytics. You will develop SQL and Python-based ETL processes, prepare regulatory reports, automate recurring tasks, and provide reliable data and analytical insights to support business decision-making.
You will work closely with Finance, Compliance, Product, and Operation teams in a fast-paced fintech environment.
Key responsibilities
- Develop and optimize SQL queries for data extraction, transformation, and reporting.
- Build and maintain Python scripts for ETL, automation, and data validation.
- Prepare, validate, and automate regulatory reports (SLIK, PUSDAFIL, FDC, APOLO, etc.).
- Provide accurate datasets and analytical reports for internal stakeholders.
- Analyze data to identify trends, anomalies, and business insights.
- Develop and maintain automation scripts and scheduled jobs (Cron or similar).
- Support machine learning initiatives by preparing datasets and maintaining data dictionaries and documentation.
- Collaborate with developers to understand APIs, backend systems, and application data flows.
- Ensure data accuracy, consistency, and proper documentation.
What we\'re looking for
- Bachelor\'s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.
- 2+ years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar role.
- Proficiency in Python for ETL and automation.
- Good understanding of relational databases and Linux.
- Strong analytical and problem-solving skills.
- Good written and spoken English.
- Able to work independently in a fast-paced environment.
Preferred
- Experience in fintech, banking, or other regulated industries.
- Experience with regulatory reporting.
- Familiarity with REST APIs, JSON, Git, and Cron jobs.
- Basic understanding of Android/iOS application architecture.
- Knowledge of machine learning concepts (e.g., regression, classification) and data preparation for model training.
- How many years\' experience do you have as a Data Analytics Engineer?