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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain advanced reporting and data visualization using large-scale datasets across products and markets.
Translate business requirements into clear technical solutions and deliver high-quality outputs on time.
Create repeatable ETL, data modeling, and reporting processes with focus on data quality and validation.
Minimum Requirements
3–5 years experience in data engineering, analytics, or related quantitative roles.
Advanced SQL skills with experience in stored procedures, functions, and working on large datasets.
Experience with big data platforms and tools such as Databricks, Hadoop, SQL Server, Snowflake, and cloud technologies.
Bachelor’s degree in Computer Science, IT, Engineering, Mathematics, Statistics, or related field; Master’s or MBA preferred.
Ideal Candidate Profile
Experienced with both data engineering and analytics, able to handle end-to-end data solutions including pipelines and visualization.
Comfortable working with global and regional teams to meet diverse business needs, translating complex requirements into actionable data products.
Experience in financial services or payment industries is a plus, indicating relevant domain understanding and product focus.