Senior Data Engineer

• Design, build, and maintain dashboards, reports, or data models that support business decision-making
• Write and optimize SQL queries against enterprise data platforms
• Translate business requirements into clear, actionable analytical solutions
• Collaborate with cross-functional stakeholders business, engineering, product, risk, or compliance teams as relevant to the project
• Ensure data accuracy, consistency, and adherence to governance standards
• Present insights, dashboards, or recommendations clearly to stakeholders

• 37 years of relevant experience in Data Analytics, BI, Data Engineering, or Data Science
• Advanced SQL complex joins, CTEs, window functions, and query performance optimization
• Hands-on proficiency in at least one BI/visualization tool Power BI, Tableau, or Qlik
• Strong stakeholder management skills proven ability to work with business teams to shape analytical solutions
• Python or equivalent scripting (R, PySpark) for data manipulation, automation, or analysis

• BI & Dashboard Development: DAX, Power Query / Power BI Report Builder, Row-Level Security, dashboard performance optimization, Snowflake or Azure Databricks
• Data Modeling & Architecture: Dimensional modeling, data vault methodology, dbt, semantic layer design, data governance and lineage
• Data Quality & Test Engineering: ETL/pipeline validation, data reconciliation and profiling, automated testing frameworks, CI/CD practices
• Analytics & Data Science: Statistical techniques (regression, segmentation), A/B testing and experimentation, machine learning exposure, product or e-commerce analytics
• Analytics Leadership & Consulting: Client/CxO stakeholder engagement, team and project management, mentoring

• Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Engineering, or related) or equivalent practical experience
• Strong analytical, problem-solving, and communication skills

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