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The Finance Data Engineering team focuses on empowering data-informed decisions through the development of scalable data products. Collaborating with data science and engineering teams, you will play a pivotal role in delivering valuable insights into financial data by developing robust pipelines, implementing data quality processes, creating conformed data models, and building effective visualizations.
Job Responsibility:
Partner with Product Managers, Engineering, analytics, and business teams to review and gather the data/reporting/analytics requirements and build trusted and scalable data models, data extraction processes, and data applications to help answer complex questions.
Design and implement data pipelines to ETL data from multiple sources into a central data warehouse.
Improve data quality by using and improving internal tools/frameworks to automatically detect DQ issues.
Develop and implement data governance procedures to ensure data security, privacy, and compliance.
Implement new technologies to improve data processing and analysis.
Coach junior data engineers to improve their skills.
Requirements:
A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Software Engineer or Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms
Experience with Databricks, Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies.
A willingness to accept failure, learn and try again
An open mind to try solutions that may seem crazy at first
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)
Nice to have:
Experience building self-service tooling and platforms
Built and designed Kappa architecture platforms
Contributed to open source projects (Ex: Operators in Airflow)
Experience with Data Build Tool (DBT)
What we offer:
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.
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