Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and enhancement of enterprise data warehouse, data lake, and scalable ETL/ELT pipelines for banking platforms.
Drive data strategy, governance, and quality assurance while managing complex regulatory, risk, lending, securities, and treasury data domains.
Develop and support business intelligence reporting frameworks, dashboards, and executive KPIs to enable decision-making and regulatory compliance.
Minimum Requirements
8+ years experience in Data Engineering, Data Analytics, Data Warehousing, and BI Reporting within Banking and Financial Services.
Mandatory skills include Oracle Database, SQL/PLSQL, Python, DataIKU, MicroStrategy, ODI, ETL/ELT, Snowflake, and Unix/Linux environment.
Strong functional knowledge of Lending, Risk, Securities, Tax, Payments, Treasury, Customer Data Management, and Regulatory Reporting.
Work Experience Required: 8+ years in relevant domain and technologies. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in leading global teams and managing stakeholder engagements in complex financial services environments.
Proficient in translating business requirements into actionable data and reporting solutions with a focus on operational and regulatory compliance.
Strong background in managing enterprise data platforms with emphasis on data quality, reconciliation, lineage, and governance in banking contexts.