Senior Solutions Consultant

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Unison Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

💳 Fintech

🤖 Artificial Intelligence

Consulting • Fintech • Artificial Intelligence

Unison Group is a Singapore-founded (2012) boutique technology and consulting firm that empowers global financial institutions with specialized services in risk, compliance, analytics, and cloud-native digital transformation. The firm focuses on Liquidity Risk, Market Risk, Credit Risk, and Regulatory Compliance and delivers consulting, system integration, business intelligence, and software/IT development. Key capabilities include data engineering and analytics, cloud engineering (AWS/Azure/Databricks/Snowflake), AI & ML (Generative AI, MLOps, automation), and BFSI-focused solutions; it also offers proprietary platforms (uArrow, Risk Insight, Regulatory Reporting, Workflow, Enterprise AI) to support enterprise-grade deployments and real-time compliance. Unison partners with banks and financial institutions to implement secure, scalable, and compliant systems that drive operational efficiency and informed decision-making.

📋 Description

• Collaborate with customers and business stakeholders to understand data and analytics requirements. • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark. • Build and optimize ETL/ELT workflows for batch and near real-time data processing. • Implement Data Lakehouse solutions following the Medallion Architecture (Bronze, Silver, Gold). • Develop data transformation logic using Python, PySpark, and SQL. • Ensure data quality, reliability, and performance through testing and optimization. • Troubleshoot and resolve data processing and performance issues. • Work closely with Solution Architects, Data Engineers, and DevOps teams to deliver end-to-end solutions. • Participate in code reviews and follow development best practices. • Create technical documentation and provide support during deployment and production activities.

🎯 Requirements

• 6+ years of overall experience in Information Technology. • 3+ years of hands-on experience with Databricks. • Experience in developing and implementing enterprise data engineering solutions.