Opus Technologies is a trusted engineering partner to payment providers, banks, and fintechs navigating change in a real-time, digital-first world. We solve for business value—accelerating go-to-market, unlocking future readiness, and powering transformation at scale. Our promise is simple: Business Value Acceleration. Realization. Maximization. We deliver on this promise through the Opus trifecta—a domain-native engineering skillset, a value-creation mindset, and a toolset that drives business agility. From MVP (Minimum Viable Product) to MPT (Maximum Possible Transformation), Opus turns engineering into a business advantage.

- 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.
- Solid planning and organizational skills

📌 Tech Lead - Data Engineer (India)
🏢 Opus Technologies
📍 India