Data Engineer at Atlassian
Atlassian · Bengaluru, India
- Salary: As per Company Policy
- Experience: 0-2 years
📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Atlassian 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Engineer at Atlassian — Full Details & How to Apply Atlassian is seeking a passionate Data Engineer to join their innovative team in Bengaluru, India . This role offers fresh graduates a unique opportunity to kickstart their careers in the technology sector, making it an ideal stepping stone for those eager to dive into the world of data. In today's data-driven landscape, the role of a Data Engineer is crucial as organizations increasingly rely on data to make informed decisions and drive growth. With the rise of big data and analytics, the demand for skilled Data Engineers has surged, making this an opportune moment to enter the field. As businesses strive for operational efficiency and strategic insights, the expertise of a Data Engineer becomes indispensable, ensuring that data is not just collected but effectively utilized. Atlassian stands out as a leader in the technology industry, renowned for its collaborative tools like Jira and Confluence. This reputation not only reflects its commitment to innovation but also creates a vibrant workplace culture that fosters creativity and collaboration. By joining Atlassian , you will be part of a company that values its employees and invests in their professional growth, making it an ideal environment for aspiring data professionals. This role is ideal for both freshers and candidates with up to 2 years of experience . If you hold a B.Tech, MCA, or any graduate degree , and belong to the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. The Atlassian recruitment process is designed to identify individuals who are not only technically proficient but also possess strong communication skills and a knack for problem-solving . As a Data Engineer at Atlassian , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . This hands-on experience will equip you with the skills necessary to thrive in a fast-paced, data-centric environment, setting the foundation for rapid career advancement. You will also have the opportunity to collaborate with cross-functional teams, enhancing your professional network and broadening your skill set. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and up-to-date information to apply online for this Data Engineer position at Atlassian . Job Role & Responsibilities As a Data Engineer at Atlassian , you will play a crucial role in enhancing data accessibility and quality across various platforms. This position is integral to supporting analytics teams by ensuring seamless data flow and robust data management practices. Design and implement data pipelines to ensure seamless data flow across various platforms, enhancing data accessibility for analytics teams. Utilize tools such as SQL , Python , and cloud services to manage and transform large datasets, ensuring data quality and integrity. Collaborate with cross-functional teams , including data scientists and software engineers, to understand data requirements and deliver effective solutions. Monitor and optimize data processes, focusing on performance metrics to improve efficiency and reduce latency in data retrieval. Take ownership of specific projects, driving initiatives from conception to deployment while continuously learning and adapting to new technologies. Document data processes and workflows clearly, ensuring transparency and knowledge sharing within the team and across the organization. Identify and troubleshoot data-related issues, employing innovative problem-solving techniques to enhance data reliability and usability. Participate in regular team meetings to provide updates on project status and gather feedback from stakeholders. At Atlassian , we foster an ownership culture where you will be empowered to drive initiatives and make impactful contributions to our data ecosystem. Your role as a Data Engineer will not only enhance your technical skills but also significantly influence our data-driven decision-making processes. Required Skills & Technical Competencies We are seeking a candidate with a strong skill profile that combines technical expertise with effective communication abilities. This blend is essential for articulating complex data concepts and collaborating with diverse teams. Technical Skills SQL (Intermediate) — essential for querying and managing relational databases effectively. Python (Basic) — used for data manipulation and automation of data processes. Cloud Services (Familiarity) — understanding of platforms like AWS or Azure for data storage and processing. Data Visualization Tools (Basic) — knowledge of tools like Tableau or Power BI to present data insights. ETL Processes (Understanding) — familiarity with Extract, Transform, Load methodologies for data integration. Version Control (Basic) — experience with tools like Git for collaborative coding. Soft Skills & Professional Competencies Strong communication skills — essential for articulating complex data concepts to non-technical stakeholders. Problem-solving — ability to address data challenges effectively, ensuring practical and scalable solutions. Teamwork — vital for collaborating with diverse teams in a dynamic environment. Adaptability — willingness to learn and adjust to new technologies and methodologies. Good to Have (Bonus) Familiarity with Data Warehousing — understanding of data storage solutions for analytics. Experience with NoSQL Databases — knowledge of databases like MongoDB or Cassandra. Basic Machine Learning Concepts — understanding of foundational ML principles can be advantageous. To showcase these skills effectively in your resume or interview for the Data Engineer role at Atlassian , highlight relevant projects or internships, particularly those involving data manipulation and collaboration with teams. Eligibility Criteria This role is designed for both freshers and candidates with up to 2 years of experience who are eager to start their careers in the tech industry. Candidates must hold a degree in any discipline , with a preference for those with a background in computer science or related fields. Eligible batches include 2023, 2024, 2025, and 2026 graduates. While there are no strict CGPA requirements, a strong academic performance can enhance your application. Prior internship or hands-on project experience is a strong advantage. Basic knowledge of data manipulation and analysis tools is expected. Strong communication skills are essential for effective collaboration. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and internships. Include links to your GitHub repositories or portfolio to showcase your practical skills and coding abilities. Pro Tip: Tailor your application by emphasizing any relevant projects or internships that demonstrate your data engineering skills and problem-solving abilities, as this will significantly improve your application success rate. Salary & Benefits 💰 Compensation As per Company Policy The compensation philosophy at Atlassian emphasizes providing a competitive salary that is aligned with company policy, ensuring fair compensation for your contributions as a Data Engineer . This approach reflects the company's commitment to attracting and retaining top talent in the technology industry. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Wellness Programs — initiatives aimed at supporting physical and mental well-being Learning and Development — access to training, certifications, and mentorship opportunities Flexible Work Hours — accommodating diverse lifestyles with potential hybrid work options Meal Allowances — financial support for daily meals Transportation Support — assistance with commuting costs Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Stock Options — potential equity in the company as part of your compensation package Performance Bonuses — annual bonuses based on individual and company performance Regular Performance Reviews — structured feedback sessions to support career growth Internal Mobility Opportunities — chances to explore different roles within the company Career Progression & Salary Growth At Atlassian , the appraisal cycle typically occurs annually, with raises generally ranging from 10% to 15% based on performance. Promotion timelines are structured, allowing employees to advance within 2 to 3 years based on merit and contributions. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences relevant to the Data Engineer role, and be prepared to discuss industry standards. Selection Process The hiring philosophy at Atlassian focuses on identifying candidates who not only possess the technical skills required for the Data Engineer role but also align with the company's core values and culture. 1 Round 1: Initial Screening — review of applications focusing on qualifications and relevant experience 2 Round 2: Technical Interview — assessment of problem-solving skills and familiarity with data engineering concepts 3 Round 3: Behavioral Interview — evaluation of cultural fit and alignment with Atlassian 's values 4 Final Stage: Offer Presentation — discussion of the offer and background check for successful candidates What Each Round Tests Round 1 focuses on your qualifications and relevant experience. Round 2 assesses your technical skills, including proficiency in tools like AWS and Python . Round 3 evaluates your cultural fit, emphasizing communication skills and teamwork . Timeline & Expectations The entire selection process typically spans 4-6 weeks from application submission to final offer. Expect timely communication from Atlassian regarding your application status and next steps. Interview Prep Tip: Familiarize yourself with Atlassian 's products and values, as they often incorporate these into their interview questions. How to Apply for Data Engineer at Atlassian Apply Now — Atlassian Step 1: Click the Apply button or visit the official career link provided to access the job listing. Step 2: Fill in your profile and upload your resume, highlighting relevant skills, projects, and experiences that align with the Data Engineer role. Step 3: Expect a confirmation email outlining the next steps in the application process, including any assessments or interviews. Step 4: Keep track of your application status through the portal and be prepared for potential assessments. Step 5: Follow up if you haven’t heard back within the expected timeline. Resume & Profile Tips for This Role Highlight Technical Skills — emphasize your proficiency in Python , SQL , and AWS . Showcase Projects — include any relevant hands-on project experience in data engineering. Demonstrate Problem-Solving — provide examples of how you’ve tackled complex data challenges. Align with Company Values — reflect Atlassian 's core values in your application. Note that applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at Atlassian? Eligibility Tap to expand + Answer Candidates must hold any degree, with a preference for computer science backgrounds. Eligible batches include 2023-2026, targeting fresh talent. ? What is the interview process for Data Engineer at Atlassian? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on data skills, and a behavioral interview for cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with SQL and Python for data manipulation, alongside cloud services for data storage and processing. ? What is the salary and compensation for this role? Salary Tap to expand + Answer Salary will be competitive as per company policy, with opportunities for performance bonuses and growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Bengaluru, with potential for hybrid arrangements depending on team needs. ? What is the career growth path after joining Atlassian as a Data Engineer? Growth Tap to expand + Answer Expect a structured growth path with opportunities for promotions and lateral moves within 6-12 months based on performance. ? How should I prepare for the Data Engineer interview at Atlassian? Preparation Tap to expand + Answer Focus on data engineering fundamentals, practice problem-solving scenarios, and be ready to discuss your projects and experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, submitting your resume and highlighting relevant skills and experiences. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 3-6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Atlassian? Culture Tap to expand + Answer Atlassian fosters a collaborative and inclusive culture, emphasizing continuous learning and team support to drive innovation. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com