Data Engineer

<h3>📋 Description</h3> • Data is a BIG deal at Atlassian. • We ingest over 180 billion events each month into our analytics platform. • Join a team that is smart and very direct. • As a Data Engineer, apply your technical expertise to build analytical data models. • Own problems end-to-end and improve the data by adding new sources, coding business rules, and producing new metrics. <h3>🎯 Requirements</h3> • B.E,/B.Tech in Computer Science, Engineering, Information Management, or other technical fields and 4+ years of data engineering experience • Strong programming skills using Python or Java. • Working knowledge of relational databases and query authoring via SQL. • Experience designing data models for optimal storage and retrieval to meet product and business requirements. • Experience building scalable data pipelines using Spark (SparkSQL) with Dbt, Airflow scheduler/executor framework or similar scheduling tools. • Experience building real-time data pipelines using a micro-services architecture. • Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka). • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. • Well-versed in modern software development practices (Agile, TDD, CICD). • A willingness to accept failure, learn, and try again <h3>🏖️ Benefits</h3> • health and wellbeing resources • paid volunteer days • and so much more