Data EngineerLocation: Miami, Florida, USAExperience: 7-10 yearsJob Description:Build a centralized data platform – unified data platform for customer across organizationData engineer should knowledge of data model, AWS serverless knowledge (AWS, DynamoDB, S3, Lambda) – 40% DynamoDB and 60% AWSSelf-starters that can adopt to the dynamic environment and contribute – 7-10 years of experience in AWS, data.Good understanding skills in AWS Services, Storage, Dynamo db and LambdaMulesoft is used integration layerConsistent definition of the customer that can be leveraged for multiple consumption like reporting, GenAI use casesWrite batch jobs to bring in data as ad-hoc or batch integration from ERP/CRMCapture data points across customer journeyDynamoDB is used to enable fast retrieval, ingestion, accommodate multiple schema Mulesoft connectors directly accessed through DynamoDBThe pay range for this role is ***k - ***k per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package.
The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. "*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company.
All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ***.