Data Engineer ( Treasury) (Chennai)

Epergne Solutions is seeking Treasury Data Engineer. Mode of Work : Work from office Years of experience : 6 years The data engineer role, is a key role in the data squad under the Treasury Data & Analytics . The Strategic pillars of Treasury Data & Analytics team are A common finance data model for GCFO that serves Treasury purposes, where control can be applied centrally. An optimized finance data architecture with STP, creating capacity for future initiatives such as self-service portal of business products for analytics. Embedding the data governance model that addresses policies, procedures and business data ownership Monitor and manage data quality via DQMS and the Issue Management Resolution process (IMR). Self-service data modelling capabilities augmented by AI functionalities Standardized and rationalised set of Analytics made available on Treasury Landing Page with Persona driven UI/UX. Qualification Strong track record of data management and / or data operating model execution and delivery in transformation projects 6+ years of overall work experience with 2+ years of relevant data management experience Ability to work proactively, independently when necessary and displays strong initiative. Excellent communication and presentation skills Consistently high performer and excellent role model of the Banks core values. High levels of energy and drive, willingness to work hard. Pragmatic team player with attention to detail Hands on experience in data management and operating model in Tier 1 Bank Excellent stakeholder management and communication skills covering both senior and operational levels SAP products for planning, outlook Strong experience in SAP (HANA Cloud, Datasphere, SAP Analytics Cloud), SQL, Python, or Scala. Proficiency in ETL tools, data pipeline frameworks Hands-on experience with cloud-based data solutions (AWS, BigQuery, Azure, etc.) Familiarity with API integrations, real-time data processing, and automation Experience in data governance, security, and compliance reporting Knowledge of treasury operations, cash management, and investment tracking Solid understanding of financial risk management (FX, interest rate, liquidity risk). Ability to bridge the gap between business requirements and technical solutions. Familiarity with financial reporting, regulatory compliance, and audit processes Experience with real-time financial data processing and analytics Knowledge of machine learning models for treasury forecasting Epergne Solutions is seeking Treasury Data Engineer. Mode of Work : Work from office Years of experience : 6 years The data engineer role, is a key role in the data squad under the Treasury Data & Analytics . The Strategic pillars of Treasury Data & Analytics team are A common finance data model for GCFO that serves Treasury purposes, where control can be applied centrally. An optimized finance data architecture with STP, creating capacity for future initiatives such as self-service portal of business products for analytics. Embedding the data governance model that addresses policies, procedures and business data ownership Monitor and manage data quality via DQMS and the Issue Management Resolution process (IMR). Self-service data modelling capabilities augmented by AI functionalities Standardized and rationalised set of Analytics made available on Treasury Landing Page with Persona driven UI/UX. Qualification Strong track record of data management and / or data operating model execution and delivery in transformation projects 6+ years of overall work experience with 2+ years of relevant data management experience Ability to work proactively, independently when necessary and displays strong initiative. Excellent communication and presentation skills Consistently high performer and excellent role model of the Banks core values. High levels of energy and drive, willingness to work hard. Pragmatic team player with attention to detail Hands on experience in data management and operating model in Tier 1 Bank Excellent stakeholder management and communication skills covering both senior and operational levels SAP products for planning, outlook Strong experience in SAP (HANA Cloud, Datasphere, SAP Analytics Cloud), SQL, Python, or Scala. Proficiency in ETL tools, data pipeline frameworks Hands-on experience with cloud-based data solutions (AWS, BigQuery, Azure, etc.) Familiarity with API integrations, real-time data processing, and automation Experience in data governance, security, and compliance reporting Knowledge of treasury operations, cash management, and investment tracking Solid understanding of financial risk management (FX, interest rate, liquidity risk). Ability to bridge the gap between business requirements and technical solutions. Familiarity with financial reporting, regulatory compliance, and audit processes Experience with real-tim