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Vor 2 Tagen
Overview Join to apply for the Data Engineering Consultant role at Cevo Australia . Cevo is a trusted leader in technology delivery on the AWS platform. Established in 2016, we're an Advanced AWS Consulting Partner, headquartered across Sydney, Melbourne, Brisbane and Canberra. This role is based in Sydney, New South Wales, Australia. About Cevo Cevo is a trusted leader in technology delivery on the AWS platform. Established in 2016, we\'re an Advanced AWS Consulting Partner, headquartered across Sydney, Melbourne, Brisbane and Canberra. We empower our customers to simplify cloud adoption and accelerate digital transformation by leveraging emerging technologies, modern productivity tools and 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 and expertise has helped 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, passionate and committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored, innovative and reliable solutions. Role and 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. Integrate Amazon SageMaker into 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. Benefits Company perks including 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 and exams The support of the Cevo Hive, helping each other to succeed We reward and recognize achievements Exciting start-up vibe with enterprise-level projects and clients. #J-18808-Ljbffr
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