Python Data Engineer

Data Engineer, SQL Python We have an immediate need for a Data Engineer with our client. This role is ideal for early career data engineers. The ideal candidate will have strong SQL fundamentals, hands-on exposure to data pipelines, and experience using Airflow with Python. Cloud experience is required, with Google Cloud Platform preferred and AWS acceptable. This position will support data engineering initiatives across Prospect and Student data platforms while contributing to data warehousing,

Job#: 3017356 Job Description: Cloud Data Engineer Location: Oak Brook, Illinois (Remote) Employment Type: Contract to Perm Role Overview This position is for the implementation of a technology framework providing technical support for initiatives in cloud computing, integration, and automation. The focus is on the design of systems and services that run on cloud platforms. The role supports the design and development of end-to-end data integration solutions in the cloud infrastructure using

RequiredEducation A4-yeardegreeand/orMastersdegreefromanaccreditedcollegeoruniversity,orequivalentexperience. TechnicalSkills(Must-Have) 57yearsexperienceindatamanagement,dataengineering,ordataoperations(datadesign,dataquality,metadata,governance,etc.) ExperiencewithdevelopmentanddeliveryofmicroservicesusingserverlessAWSservices(S3,RDS,Aurora,DynamoDB,Lambda,SNS,SQS,Kinesis,IAM) 4+yearsofexperienceinacloudenvironment(AWS,Snowflake) StrongSQLandPython SoftSkills(Must-Have) Verbalandwritte

REQUIREDSKILLS PythonexpertisewithdeepexperienceinpandasforETL/ELTanddatawrangling(vectorization,memorymanagement,IO,timeseries). Hands-onexperiencewithSnowflake(SQL,performancetuning,warehouseconfiguration). Hands-onexperiencewithSnowpark(Python)forscalabletransformations. StrongFastAPIexperiencebuildingproductionservices(dependencyinjection,Pydanticmodels,asyncIO). PracticalknowledgeofKafka(consumergroups,offsets,partitions,schemamanagement). Experiencedesigningevent-drivenmicroservices.