Vacancy expired!
Data EngineerCreate 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.Required Skills:
- 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.
Vacancy expired!