[DXCSynergy] Data Engineer - Treasury

About the Position

We are looking for a Data Engineer to design, develop, and maintain robust data pipelines for Deposits and Treasury applications, working with large-scale datasets and enabling financial reporting and analytics use cases.

Responsibilities

• Design, develop, and maintain robust data pipelines for Deposits and Treasury applications.
• Work with large-scale structured and unstructured datasets using Apache Spark / PySpark.
• Develop high-quality, reusable, and efficient code in Python.
• Collaborate with business stakeholders to understand data requirements related to treasury products, liquidity, and deposits.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and integration.
• Support data modelling for financial reporting and analytics use cases.
• Create and maintain data visualizations and dashboards using tools such as Amazon Quicksight, Power BI, Tableau, etc.
• Ensure data quality, governance, and compliance with financial regulations.
• Troubleshoot performance issues and optimize data workflows.
• Work closely with cross-functional teams including analysts, architects, and product owners.

Requirements

• At least 6 years of experience in Data Engineering space.
• Strong experience building and maintaining data pipelines for banking data domains.
• Hands-on expertise with Apache Spark / PySpark for large-scale data processing.
• Strong Python development skills with emphasis on reusable, efficient code.
• Solid ETL/ELT engineering experience (ingestion, transformation, integration).
• Experience supporting data modelling for reporting/analytics use cases.
• Exposure to BI/dashboarding tools such as Amazon Quicksight, Power BI, Tableau (or similar).
• Practical experience with data quality, governance, and working in regulated environments.

Nice to Have

We Offer

About the Company

Luxoft is a global provider of digital transformation and technology services, empowering businesses to innovate and thrive in the digital age.