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We are seeking an experience Data Strategy Engineer to join our Cross Markets team where you will Industrialise data standardisation across all cross-market apps, develop consolidated strategies, and translate platform capability into measurable outcomes.
Job Responsibility:
Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
Requirements:
Design and build scalable data pipelines using AWS services like AWS Glue, Databricks, DIH and S3
Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes
Create and manage applications using Python, SQL, Databricks, and various AWS technologies
Previous financial services experience, ideally within investment banking