Data Engineer / Senior Data Engineer
Data Engineer Experience: At least 6 years to 15 years experience Job Description: AWS (EMR, S3, Athena, SQL) experienced... more info
Improve upon existing systems that collect, manage and convert data for our teams to interpret in a meaningful way. Experience with building AI/ML models and rule-based engines required. Responsibilities Design, build, and maintain scalable data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data solutions meet business needs. Implement and optimise data models, data architecture, and data warehousing solutions for efficient data retrieval and analysis. Monitor data systems' performance, identify bottlenecks, and implement solutions to optimise data processing and storage. Ensure data security and privacy measures are in place to safeguard sensitive information and comply with relevant regulations. Job requirements Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred. Strong programming skills in languages such as Python, Java, Scala, or SQL for data manipulation and analysis. Proficiency in working with big data technologies, such as Hadoop, Spark, or similar distributed computing frameworks. Experience with data modeling, data warehousing, and ETL development using tools like Apache Airflow or similar. Knowledge of database systems like MySQL, PostgreSQL, MongoDB, or Cassandra. #J-18808-Ljbffr
Data Engineer Experience: At least 6 years to 15 years experience Job Description: AWS (EMR, S3, Athena, SQL) experienced... more info
Get AI-powered advice on this job and more exclusive features. Talent and Technical Consultant @ Furō | People and Culture... more info
Senior Data/Analytics Engineer Department: Data & Analytics Employment Type: Permanent - Full Time Location: Melbourne... more info