Build ETL pipelines to ingest data from exchange platform, banking systems, and internal services.
Ensure data quality, integrity, and security in transit and at rest.
Collaborate with cloud engineers to deploy scalable data infrastructure on AWS.
Support analytics and reporting teams with reliable data access.
II. Job requirements
5+ years in data engineering, with experience in financial systems.
Proficiency in Python, Spark, SQL, and data pipeline frameworks.
Experience with AWS data services (e.g., Redshift, Glue, S3), databases (e.g. Postgres, MS Server, MongoDB) and some open source frameworks (e.g. dbt, Airflow).
Knowledge of data governance, encryption, and compliance.
Proficient in English (4 skills)
III.Benefits
Salary: Negotiation (Unlimited)
High-trust, fast-paced environment with real decision-making power
Opportunity to collaborate directly with world-class global tech companies
