Data Engineer

Experience – 4 to 14 years

Skills -

• Proficient in executing ETL processes between data environments

• Proficient at coding in SQL (additional knowledge in Python and R is highly regarded)

• Proficient at creating analytics related documentation

• Communication skills (written and verbal)

• Stakeholder engagement skills

• Commercial problem-solving capability

• Experience using cloud based environments (such as AWS S3/Redshift or Google GO) is highly regarded.

Knowledge -

• Strong knowledge of data wrangling/engineering principles, tools and techniques

• Knowledge on how to bring together disparate data in an efficient manner to create meaningful data flat files

• Awareness of data security principles

• Basic proficiency in modelling techniques (preferred, not required)

• AWS cloud analytics platform knowledge (preferred, not required)

• NAB data environment (preferred, not required)

• Tertiary qualification in Information Technology or Computer Science (preferred, not required)

Abilities-

• Passion for upskilling, providing feedback and mentoring peers

• Understanding ambiguous/complex datasets and business rules to bring them together to create insights

• Working with others in a collaborative manner to achieve a common objective

• Have a willingness to engage others and share knowledge

• Attention to detail particularly with data integrity and applying correct formats to data elements

• Be able to communicate technical concepts details in simple language to senior stakeholders

• Enjoy the challenge that a dynamic, fast paced and complex organisation brings