Data Engineer

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*Create and maintain optimal data pipeline architecture, *Assemble large, complex data sets that meet functional / non-functional business requirements. *Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. *Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies. *Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. *Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. *Deliver ad-hoc analyses and reports to support business needs, investigate, triage and resolve metrics-based issues without heavy guidance *Provide access to data through Tableau dashboards and other analytical tools to empower through self-service. Design, develop and maintain business dashboards to track KPIs across marketing, operations and product linked activities.

*Proficient with SQL: and can write well optimized queries including a variety of functions and subqueries as well as a strong understanding of databases and business intelligence tools (e.g., Sql Server, My Sql, Tableau, etc) *Strong analytical skills, with experience solving ambiguous problems using data *Self-starter, with ability to thrive in a dynamic, fast-paced environment, drive change through influence, and collaborate effectively with a variety of cross-functional stakeholders. Excited and hungry to try new tools and processes to achieve results. *Create and maintain optimal data pipelines and ETL processes. *Assemble and manage large, complex data sets.

2+ years of hands-on ELT/SSIS experience. 2+ years hands-on experience developing with T-SQL, SSIS, SSAS, and C# Strong experience with business intelligence and data warehousing design principles Proficiency with star schemas, snowflakes, de-normalized models, handling 'slow-changing' dimensions Proficiency with database deployment options and infrastructure tuning.

BS/MS degree in a Computer Engineering, or a related scientific discipline, or the equivalent in experience.