Apply for Atlassian Off Campus Drive 2025! Hiring Data Engineer Job in Remote/Bangalore to build scalable data lakes and big data pipelines. Ideal for BE/BTech graduates with Python, Spark, Airflow, and SQL expertise. Grow your data engineering career.
Candidates who are interested in Atlassian Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Data Engineer jobs
Company: Atlassian
Qualifications: BE/BTech
Experience Needed: 2-5 years
Job Description
Atlassian is looking for a Data Engineer to join our Data Engineering team, responsible for building our data lake, maintaining big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with the business stakeholders, platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services/pipelines that scale.
Start Date: 28th July 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
On a typical day you will help our stakeholder teams ingest data faster into our data lake, you’ll find ways to make our data pipelines more efficient, or even come up ideas to help instigate self-serve data engineering within the company. You will be involved in strategizing measurement, collecting data, and generating insights.
Apply Now for Atlassian Data Engineer Jobs
How to Apply Atlassian Off Campus Drive 2025
Click on Apply to Official Link Atlassian Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Explain your experience with building and maintaining data pipelines.
- How do you ensure data quality and reliability in big data workflows?
- Describe a time you optimized a Spark or Airflow pipeline for performance.
- What is your approach to schema design in a data lake environment?
- How would you handle ingestion of large-scale streaming data?
- Which technologies and tools have you used for building scalable data services?
- Explain your understanding of partitioning and its benefits in big data systems.
- Describe your experience in collaborating with business stakeholders for data requirements.
- How do you ensure security and compliance in your data engineering practices?
- Can you explain the differences between ETL and ELT, and when to use each?
