Who are we?
Cevois a trusted leader in technology delivery on the AWS platform.
Established in ****,we'rean Advanced AWS Consulting Partner, headquartered across Sydney, Melbourne,Brisbaneand Canberra.
We empower our customers to simplify cloud adoption and accelerate digital transformation byleveragingemerging technologies, modern productivitytoolsand cloud native platforms.
Drawing on experience across diverse projects and customers, our consultants enable organisations to innovate through modernisation, data and artificial intelligence and advisory services, underpinned by AWS best practice.
Our AWS specialisation andexpertisehashelped more than 200 organisations stay competitive in a dynamic environment, ranging across start-ups, commercial, enterprise and government customers.
We are a diverse team of people with a shared passion for helping our customers move faster with confidence.
Our skilled consultants are curious,passionateand committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored,innovativeand reliable solutions.
About the Role We are seeking an experienced AWS Data Engineer to design, build scalable data solutions on AWS.
You will work closely with data scientists, analysts, and business stakeholders to ensure data availability, integrity, and performance across platforms.
Key Responsibilities Design and implement data pipelines using AWS services (Glue, Lambda, Step Functions, Kinesis, etc.).
Develop ETL processes for structured and unstructured data.
Optimize data storage and retrieval using Amazon S3, Redshift, DynamoDB, and RDS.
IntegrateAmazon SageMakerinto data workflows to enable machine learning model training and deployment.
Ensure data security and compliance with best practices and organizational standards.
Collaborate with cross-functional teams to integrate data solutions into business applications.
Monitor and troubleshoot data workflows for performance and reliability.
Implement CI/CD pipelines for data engineering projects.
Required Skills & Qualifications 5+ years of experience in data engineering or related field.
Strong proficiency in AWS services (Sagemaker, Glue, Redshift, S3, Lambda, EMR).
Expertise in Python, SQL, and data modeling.
Experience with big data technologies (Spark, Hadoop) and streaming frameworks (Kinesis, Kafka).
Familiarity with DevOps practices and tools (CloudFormation, Terraform).
Knowledge of data governance, security, and compliance standards.
Preferred Qualifications AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect.
Experience with machine learning pipelines and data lake architectures.
Background in agile development methodologies.
Our Values Our Values are intrinsic in everything wedo ONE TEAM - Everything we achieve we achieve as ONE TEAM We'reCURIOUS RE-IMAGINE the possible PEOPLE are the heart ofCevo OWN IT & GET IT DONE Benefits Companyperksincluding a technology allowance of$2,500 Strong learning and development culture - $2,000 per year to spend on professional courses + 2 paid days off to attend course andexams The support of theCevoHive, helping each other tosucceed We reward and recognizeachievements Exciting start-up vibe with enterprise-level projects and clients.