Building Data Engineering team to execute Data Modernization Project for a GSE
Before partnering with Digital Alpha, the client managed over 80 vendors. In their efforts to fill vacancies, they received a large number of applications, but many were subpar. The main challenges included a lack of critical skills in the talent pool, a lengthy screening process that delayed talent onboarding, and internal resources, such as Architects and Developers, being diverted to handle interviews and recruitment. To address these issues, the client chose to collaborate with Digital Alpha in order to access vetted talent and expedite the hiring process. By the end of December 2020, the client communicated to Digital Alpha their need to establish a Data Engineering team for application modernization, necessitating specific knowledge in cloud technologies such as AWS EMR, Spark, Kafka, AWS Step Functions, and Lambda. Digital Alpha possesses extensive expertise in analyzing and assessing candidates based on their qualifications, stability, technical skills, and experience prior to moving them forward to technical screenings.
Key differentiators include:
- Digital Alpha's leadership boasts over 20 years of experience in forming technology teams for Wall Street and Fortune 100 companies.
- The client's need for candidates with skills in AWS EMR, Spark, Kafka, AWS Step Functions, and Lambda matches Digital Alpha's comprehensive expertise in talent evaluation.
As a result, the client significantly decreased their time-to-hire by three weeks, secured top-quality candidates, and saved 70% of the time spent by developers and architects.