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Atlassian is a leading software company known for its innovative tools and collaborative culture. They are seeking a Data Engineer to join their Data Engineering Team in their headquarters located in Sydney, Australia. This full-time position plays a vital role in developing data solutions that drive essential business decisions across the entire organization.
In this position, you will report directly to the Data Engineering Manager and work closely with various stakeholders to create data models, ingestion processes, and applications tailored to the organization's needs. Your core responsibilities will include:
Collaborating with the data analytics and data science teams to develop data solutions that enhance insights from data.
Understanding stakeholder requirements and architecting the necessary data models while ensuring solid data acquisition and ingestion plans are in place.
Adding new data sources, coding business rules, and creating new metrics that will assist product analysts and data scientists.
Acting as a data domain expert, ensuring that you understand the intricacies of Atlassian's products.
Taking ownership of problems from end-to-end, managing often vague requirements and rapid iterations.
Improving data quality through enhancing existing tools and frameworks to automatically identify data quality issues.
To be successful in this role, candidates must meet several qualifications and skills:
A Bachelor’s degree in Computer Science or a related field with a minimum of 3 years of professional experience in a Data Engineer role or a similar position.
Proficiency in Python programming and experience with relational databases and SQL query authoring.
Background in designing data models for optimal storage and retrieval that align with both product and business requirements.
Knowledge and experience in building scalable data pipelines utilizing Spark and the Airflow scheduler, or similar project frameworks.
Familiarity with AWS data services or similar technologies such as Apache Spark, Flink, Hive, and Kafka.
Understanding of data engineering frameworks and standards that enhance the productivity and quality output of projects.
Well-versed in modern software development practices, including Agile, Test Driven Development (TDD), and Continuous Integration/Continuous Deployment (CICD) methodologies.
Atlassian prides itself on offering a robust array of perks and benefits that promote work-life balance and personal well-being. Some of the notable offerings include:
Comprehensive health coverage for employees and their families.
Paid volunteer days allowing employees to engage with their local communities.
Various wellness resources aimed at supporting physical and mental health.
A commitment to a diverse and inclusive work environment that fosters employee engagement and satisfaction.
For additional benefits details, interested candidates can visit Atlassian's website.
The position of Data Engineer at Atlassian is highly appealing for candidates who are passionate about data and want to work in an environment that values innovation. The opportunity to drive a data-driven culture within the company and collaborate closely with various teams enhances the significance of this role. Additionally, being located in Sydney, a vibrant city known for its landmarks and lifestyle, adds to the overall attractiveness of this position.
This full-time position at Atlassian represents a prime opportunity for those seeking to further their careers within data engineering. With a competitive salary, enriching work environment, and the chance to contribute meaningfully to business insights, you will be at the forefront of technology initiatives. The role encourages professional development and offers an ideal platform for individuals looking to make impactful data contributions in a leading software organization. If you meet the qualifications and are excited about the prospect of working with data, consider applying for this position.
This job offer was originally published on weworkremotely.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
