About this role
• 7–9 years of hands-on experience in data engineering, preferably in the payments/financial services domain. • Extensive experience with ETL/ELT frameworks and data pipeline tools. • Strong programming skills in Scala, Python, SQL; experience with Java is a plus & shell scripting is mandatory. • Strong SQL and database optimization skills; experience with NoSQL is a plus. • Familiarity with orchestration tools such as Airflow, Prefect, Luigi, or similar. • Experience working with big data technologies (Hadoop/Spark) preferred. • Knowledge of data modelling (star/snowflake schemas), dimensional design, and BI performance optimization. • Understanding of data quality frameworks, metrics, test automation tools, and monitoring.
Domain Knowledge
• Strong understanding of payments processing, transaction lifecycle, settlements, authorizations, disputes/refunds, and reconciliation flows. • Experience with payment gateways, merchant acquiring, issuing, and banking interfaces is a plus. • Familiarity with compliance and security standards relevant to payments (e.g., PCI-DSS).
• A bachelor’s or master’s degree in computer science, Engineering, or a related discipline. • Ability to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates and clients. • Exceptional interpersonal skills, including teamwork, facilitation, and negotiation. • Strong planning and organizational skills