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
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Data Engineer • aurangabad, India
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