Job Description :
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.










Apex Systems in searching for qualified candidates for several new Data Engineer Manager opportunities with one of our top clients in the greater Richmond, VA area. Role: Data Engineer Manager Location: Start role remotely and when COVID policies subside must be able to sit onsite in Richmond, VA Length: Long term contract Compensation: Highly competitive and negotiable based on experience Benefits: Overview provided upon request Data Engineer Manager Overview: As a Data Engineer Manager you will be responsible for peer reviews as well as performing hands on coding/engineering utilizing the following technologies: Spark, Python, and AWS. You will be consuming data sets- published via Kafka. Consuming data from AWS S3 buckets. Building micro services as well as any centralized infrastructure. Data Engineer Manager Requirements: Professional experience in enterprise level Banking/Finance industry. Experience working as hands on Data Engineer with AWS, Spark, Python. Experience in leadership or managerial role. Experience working with Big Data environments. Understanding data quality/architecture. Experience working in DevOps environments. Experience creating APIs. Required Skills : Data Engineer Manager Requirements: Professional experience in enterprise level Banking/Finance industry. Experience working as hands on Data Engineer with AWS, Spark, Python. Experience in leadership or managerial role. Experience working with Big Data environments. Understanding data quality/architecture. Experience working in DevOps environments. Experience creating APIs.