Data engineers typically work in an indoor office setting, and a college degree in computer science, engineering, or a related field is often a minimum requirement for this position. Computer skills, particularly with Linux systems, and three to five years of prior work experience may also be required, and applicants should have knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets.Data engineers are responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets. Expected skills and experience also include proficiency in SQL database design, proficiency in creating process documentation, strong written and verbal communication skills, and the ability to work independently and on teams. Familiarity with the computer coding languages python, java, kafka, hive, or storm may be required in order to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties.Data engineers often work on teams and should enjoy working with other data engineers. Work schedules are often flexible and offer the possibilities of working from home, paid days off, 401k, vacation time, and health insurance.

The job role of Data Engineer is expected to experience significant growth in the Australian market. According to a 10-year analysis, there is a predicted surge in demand for professionals in this field. With the increasing reliance on data-driven decision-making across industries, the need for skilled Data Engineers is projected to rise steadily in the future. This growth is further supported by Google's latest data points, which indicate a higher number of employment opportunities for Data Engineers in the coming years. Overall, the data suggests a promising outlook for individuals pursuing a career as a Data Engineer in Australia.

How to Learn

As a Data Engineer with 3-6 years of experience in Australia, your main responsibilities include:<ul><li> Designing and implementing scalable data pipelines to ingest, transform, and store large volumes of data efficiently.</li><li> Collaborating with cross-functional teams to gather data requirements, develop data models, and ensure data quality and integrity.</li><li> Optimizing and tuning database performance to ensure efficient query execution and data retrieval.</li><li> Developing and maintaining data processing workflows and automation scripts to streamline data integration and analysis processes.</li></ul>

Roles & Responsibilities

Average take home Salary for a Data Engineer in Australia is around AU$122420 per year

Salary Breakup

The Data Engineer's job is conceiving, developing, and directing the infrastructure to collect, process and analyzing huge amounts of data. They collaborate closely with analysts and data scientists to ensure accuracy and quality of data and work with teams across functional lines to improve pipelines and databases. This job calls for proficiency in programming, as well as experience in modeling data and ETL processes and proficiency in SQL as well as different programming languages. Data engineers play an essential role in arranging and structuring data in order to facilitate efficient decision-making based on data within an company.

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Data Engineer

Salary Breakup

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