Project description

Our client is a major Australian bank that has a well-established vendor platform managing their trading businesses, and they are looking for an AWS Data Engineer/Associate to join their Reconciliations team. Our client is looking for a T-shaped professional who is also able to function as BA, test, dev as well and interact with clients. This is a multi-disciplinary role oriented towards end business feature delivery as a consultant. As this role is deeply engrained into the client reconciliation system it will require a developer with at least some reconciliation knowledge.

Responsibilities

- Collaborate with business stakeholders and technical teams to understand data requirements and implement effective solutions. Participate in production support, root cause analysis, and issue resolution for data-related incidents. Contribute to the continuous improvement of data architecture, performance, and operational processes. Document technical designs, data flows, and operational procedures. Work closely with project teams to deliver high-quality solutions within agreed timelines.

SKILLS

Must have

- Overall 6-8 years & 5 years of relevant experience. AWS Data Engineer or AWS Certified Associate certification/experience is mandatory. Hands-on experience with AWS data services such as S3,



Glue, Lambda, DynamoDB, Athena, or similar AWS data engineering technologies. Strong understanding of data engineering concepts, including ETL/ELT processes, data pipelines, and data integration. Good knowledge of SQL, including writing queries, joins, aggregations, and data validation. Ability to analyze, troubleshoot, and resolve data-related issues in production and non-production environments. Strong analytical and problem-solving skills with attention to detail. Valuable verbal and written communication skills and the ability to collaborate effectively with cross-functional teams.

Nice to have

Experience working with Intellimatch (reconciliation platform) for financial data reconciliation and exception management. Exposure to financial services, capital markets, or investment banking domains. Knowledge of data reconciliation processes and controls. Familiarity with scripting languages such as Python for automation. Understanding of DevOps practices, CI/CD pipelines, and version control tools such as Git. Exposure to Agile/Scrum methodologies. Good understanding of the trade lifecycle, including trade capture, confirmation, settlement, reconciliation, and reporting.

📌 Data Engineer with AWS (Bengaluru)
🏢 Luxoft
📍 Bengaluru