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Tier-1 brand, broad tooling requirements, and a common data-engineer title increase competition.
Core data engineering skills transfer across industries, but specific tooling creates moderate bias.
Explicit years requirement plus multiple mandatory tools and BI/databases imply medium strictness.
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Develop and implement data-driven solutions and ETL processes to optimize business performance and competitive advantage.
Build and maintain data pipelines and databases using tools like DataStage, DB2, and SQL Server, applying data architecture and job scheduling knowledge.
Leverage advanced analytics, SQL optimization, and BI tools (Oracle BI, QlikView) to provide strategic insights and support client decision-making.
Bachelor's degree required.
Minimum 1 year of work experience in data engineering or relevant field.
Proficiency with SQL and data pipeline tools such as DataStage is necessary.
Willingness to travel up to 60%.
Educational background preferably in Computer Science, Economics, Engineering, Statistics, or similar quantitative fields.
Technical proficiency in Python and Java programming languages, alongside experience with data visualization tools like QlikView and Spotfire.
Experience or interest in data architecture development, business intelligence solutions, and economic data analysis contributing to strategic business decisions.