Atlassian is offering an exciting work-from-home opportunity for skilled professionals in data engineering, big data management, and cloud computing. The Atlassian Data Engineer Jobs provide hands-on experience in building scalable data pipelines, managing multi-petabyte data lakes, and leveraging cloud technologies for efficient data processing.
If you have a strong background in Python, Spark, Airflow, and AWS, and a passion for big data processing and automation, this role offers a great opportunity to work with cutting-edge technologies in a globally distributed company.
Job Overview
- Role: Data Engineer
- Location: Work From Home (Remote)
- Salary: Up to ₹12 LPA
- Qualification: Any Graduate in Computer Science or related field
- Employment Type: Full-Time
About Atlassian
Atlassian is a global leader in collaboration software, helping businesses streamline project management, software development, and data analytics. With a mission to unleash the potential of every team, Atlassian provides tools that drive innovation, efficiency, and automation.
The Go-To Market Data Engineering (GTM-DE) team is responsible for developing data lakes, optimizing big data pipelines, and automating data workflows. As a remote-first company, Atlassian offers flexible work options and a culture that fosters growth, collaboration, and continuous learning.
Key Responsibilities
1) Big Data Engineering & Cloud Infrastructure
- Design and develop scalable data pipelines using Spark, Airflow, and Hive.
- Manage and optimize a multi-petabyte-scale AWS data lake.
- Process and analyze billions of data records per day.
2) Automation & Performance Optimization
- Implement data engineering best practices for automation and self-service capabilities.
- Optimize data structures, query performance, and ETL processes.
- Improve real-time data streaming and batch processing workflows.
3) Collaboration & Problem-Solving
- Work with business stakeholders, engineering teams, and platform teams to improve data-driven strategies.
- Build self-service data engineering tools for internal teams.
- Create technical documentation, SOPs, and best practices.
Who Can Apply? (Eligibility Criteria)
Educational Qualification
- Bachelor’s degree in Computer Science, Engineering, or related field.
Technical & Soft Skills
- Strong programming skills in Python, Java, or Scala.
- Experience with Spark, Hive, Airflow, and data warehousing.
- Knowledge of SQL, data modeling, and cloud storage solutions.
- Understanding of Agile methodologies, CI/CD pipelines, and DevOps.
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Why Join Atlassian?
Competitive Salary & Perks
- Salary: Up to ₹12 LPA based on experience and skills.
- Performance-based bonuses and stock options.
Work From Home & Flexibility
- 100% remote work opportunity with flexible hours.
- Choose your own preferred work location and schedule.
Career Growth & Learning Opportunities
- Work on global-scale data projects and cutting-edge technologies.
- Access to mentorship, certifications, and professional development programs.
- Opportunities for career progression into senior engineering roles.
Application Process
Follow these steps to apply for Atlassian Data Engineer Jobs:
- Visit the Atlassian Careers Portal and search for “Data Engineer – Remote”.
- Submit your application with an updated resume highlighting big data, cloud computing, and automation skills.
- Shortlisted candidates will be invited for an online coding test and technical interview.
- Final HR discussion on salary, work expectations, and onboarding details.
Selection Process
Atlassian follows a structured hiring process for the Data Engineer role:
- Online Application – Resume screening based on data engineering and cloud expertise.
- Coding Assessment – Hands-on programming test in Python, SQL, or Scala.
- Technical Interview – Discussion on data pipelines, AWS services, and automation techniques.
- HR Interview – Evaluation of communication skills, role expectations, and compensation.
- Offer & Onboarding – Selected candidates receive an official offer letter and onboarding schedule.
Apply Now
Atlassian is offering an excellent opportunity to join its data engineering team and work with cutting-edge cloud technologies and big data analytics. If you have a strong background in data engineering, automation, and cloud platforms, this is the perfect job for you.
Start your career with Atlassian Data Engineer Jobs and be part of a global team driving innovation in data science and analytics.
Here is the Apply Link: Click Here
Your dream job in IT and Non IT jobs could be just one click away.
Important Update for Applicants
- Atlassian never charges any fees from job applicants. Report any suspicious job offers immediately.
- This is a work-from-home role, requiring stable internet connectivity and a quiet work environment.
- The company promotes diversity, inclusion, and equal opportunity for all candidates.
Job Application Tips
- Optimize Your Resume – Highlight experience in big data, cloud computing, and workflow automation.
- Prepare for Online Assessments – Brush up on Python, SQL, and data modeling concepts.
- Understand AWS & Cloud Platforms – Learn about data lakes, ETL pipelines, and scalable storage solutions.
- Improve Coding & Problem-Solving Skills – Practice writing efficient algorithms and automation scripts.
Final Thoughts
Atlassian provides an exceptional career opportunity in data engineering and cloud computing, allowing professionals to work remotely with advanced data technologies and high-scale infrastructure. With a competitive salary, flexible work culture, and strong career growth opportunities, this is the ideal role for data engineers passionate about automation and innovation.
Looking to build a strong career in data engineering? Check out the latest opening for a KPMG Data Engineer role and apply now to join one of the top global firms.
FAQS
What is the role of a Data Engineer at Atlassian?
Atlassian Data Engineers are responsible for designing and developing scalable data pipelines using Spark, Airflow, and AWS tools. Moreover, they manage multi-petabyte data lakes and optimize performance for large-scale processing. In addition, the role includes enhancing automation and real-time streaming. Collaboration with cross-functional teams is essential.
Is the Atlassian Data Engineer job a remote position?
Yes, this is a 100% work-from-home role. Since Atlassian follows a remote-first policy, you can work from anywhere with stable internet. As a result, employees enjoy flexibility and better work-life balance. However, a quiet workspace is still required for productivity.
What is the salary for Atlassian Data Engineer Jobs?
The offered salary can go up to ₹12 LPA depending on your skills and experience. Additionally, Atlassian provides stock options and performance bonuses. Therefore, the total compensation is highly competitive. Salary discussions take place during the HR round.
What are the educational qualifications required?
To be eligible, candidates must hold a Bachelor’s degree in Computer Science, Engineering, or a similar field. While a Master’s degree is an added advantage, it’s not mandatory. What’s more, Atlassian prioritizes practical experience and technical expertise. Strong academic knowledge is always beneficial.
Are freshers eligible for Atlassian Data Engineer roles?
Generally, the role is ideal for professionals with prior hands-on experience. However, freshers with exceptional project work or internships in big data technologies may apply. Still, having automation and cloud experience boosts your chances. Ensure your portfolio reflects relevant skills.
What are the key technologies used in this role?
This role focuses heavily on Python, Spark, Hive, Airflow, and AWS. Furthermore, SQL, data modeling, and cloud-based storage solutions are required. You’ll also benefit from knowing DevOps tools and CI/CD workflows. In short, technical versatility is crucial.
What does the selection process involve?
The process starts with an online application, followed by a coding test. Then, you’ll go through technical interviews based on big data and automation. Lastly, an HR interview evaluates your communication and team fit. Overall, it’s a structured and transparent process.
What kind of projects will I work on?
You’ll contribute to building real-time pipelines, automation tools, and high-scale data infrastructure. As part of the Go-To-Market team, you’ll handle billions of data records. Additionally, you’ll create tools for internal self-service data access. Thus, the work is impactful and fast-paced.
Are certifications required for this role?
No, certifications aren’t mandatory. Nevertheless, credentials like AWS Data Analytics or Google Data Engineer can strengthen your resume. These show commitment and technical proficiency. If possible, consider completing at least one certification.
How can I apply for the Atlassian Data Engineer position?
Simply visit the official Atlassian Careers Portal and search “Data Engineer – Remote.” Then, upload your updated resume and fill out the application. Remember to highlight big data and cloud expertise. Once shortlisted, you’ll be contacted for assessments.
Does Atlassian offer training or onboarding for new hires?
Yes, Atlassian provides comprehensive onboarding for all new employees. In addition, you’ll receive access to mentorship, documentation, and learning tools. This ensures a smooth start to your journey. Also, you’re encouraged to keep learning continuously.
What benefits does Atlassian provide its employees?
Apart from a competitive salary, Atlassian offers wellness programs, time-off, and stock options. You also get access to professional development and certifications. Above all, the remote culture supports flexibility and autonomy. Benefits are designed to support both career and life goals.
What cloud experience is required for this role?
Experience with AWS, especially services like S3, EMR, and Glue, is preferred. However, knowledge of Google Cloud or Azure is also acceptable. It’s important to understand cloud-based data pipelines and storage solutions. Therefore, cloud skills are highly valuable.
What are the work hours and team structure?
Work hours are flexible, though you’ll need to attend virtual meetings as required. Teams are globally distributed, so time zone overlap matters. Despite the distance, collaboration is smooth thanks to async updates and digital tools. Flexibility is a core benefit here.
How do I prepare for the Atlassian Data Engineer interview?
First, review Python, Spark, SQL, and AWS concepts thoroughly. Then, practice writing clean, scalable code for real-world scenarios. Moreover, study Atlassian’s products and team culture. With the right preparation, you can excel through all interview rounds.