Data Engineer

Responsibilities

• Design and develop scalable enterprise data engineering solutions using PySpark and Informatica platforms
• Build and model Raw Data Vault structures, including source system data structures and partitioning strategies
• Drive data reusability and optimize performance to reduce data duplication
• Define and implement enterprise data architecture standards and data exchange protocols
• Collaborate with architects and SMEs to establish data engineering principles and governance standards
• Support large-scale data transformation initiatives and contribute to CI/CD-enabled deployment environments
• Ensure compliance with enterprise data quality, governance, and security standards

Requirements

• Strong hands-on experience with PySpark and Informatica Platform Engineering
• Proven expertise in Enterprise Data Engineering and Big Data Ecosystems
• Deep understanding of Data Architecture, Dimensional Modeling, and Star & Snowflake Schemas
• Experience with Slowly Changing Dimensions (SCD), Role-playing Dimensions, and Dimensional Hierarchies
• Proficiency in Data Quality, Profiling, Governance, and Metadata Management
• Exposure to Continuous Integration (CI) and Continuous Deployment (CD) environments
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field

Preferred Qualifications

• Experience in the banking or financial services domain
• Experience working within enterprise-scale digital transformation programs
• Exposure to modern analytics and enterprise data platforms
• Knowledge of cloud-native principles, architectures, and deployments

About the Company

GSSTech Group provides specialized technical expertise to support large-scale digital products and enterprise-level digital onboarding initiatives.