Atlassian Corporation is an Australian software company that specializes in collaboration tools designed primarily for software development and project management. The company is globally headquartered in Sydney, Australia, with a US headquarters in San Francisco, and over 12,000 employees across 14 countries. Atlassian currently serves over 300,000 customers in over 200 countries across the globe
\r\n\r\nAtlassian produces software that helps teams work together more efficiently and effectively. The company provides project planning and management software, collaboration tools, and IT help desk solutions. The company operates in four segments: subscriptions (term licenses and cloud agreements), maintenance (annual maintenance contracts that provide support and periodic updates and are generally attached to perpetual license sales), perpetual license (upfront sale for indefinite usage of the software), and other (training, strategic consulting, and revenue from the Atlassian Marketplace app store).
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\r\n\r\nAtlassian produces software that helps teams work together more efficiently and effectively. The company provides project planning and management software, collaboration tools, and IT help desk solutions. The company operates in four segments: subscriptions (term licenses and cloud agreements), maintenance (annual maintenance contracts that provide support and periodic updates and are generally attached to perpetual license sales), perpetual license (upfront sale for indefinite usage of the software), and other (training, strategic consulting, and revenue from the Atlassian Marketplace app store).
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","about_us":"Atlassian Corporation is an Australian software company that specializes in collaboration tools designed primarily for software development and project management. The company is globally headquartered in Sydney, Australia, with a US headquarters in San Francisco, and over 12,000 employees across 14 countries. Atlassian currently serves over 300,000 customers in over 200 countries across the globe.","video_link":null,"logo_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_logos/horizontal-logo-onecolor-white-atlassian_27b81585853f4a74ad8e753ef4930994_f35188d26ba74017a58968f9142dbcd5.png","job_logo":"uploads/company_images/Atlassian.png","job_logo_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_job_logos/Atlassian_91bb2baf570a438da2428901ecc23cf1.png","show_powered_by_talent500_logo":true,"website":null,"redirect_logo_url":null,"linkedIn":null,"facebook":null,"twitter":null,"instagram":null,"hero_type":"1","nav_bar_color":null,"nav_items_color":"#FFFFFF","gallery_heading":"Gallery","company_image_url":"","meta_title":null,"meta_description":"","hero_h1":"Unleash the Potential in You","hero_h2":"Over 300,000+ customers use Atlassian to empower their teams and drive their missions forward.","primary_color":"#2D3084","secondary_color":"#333333","cta_text":null,"jobs_subtitle":null,"mission":null,"stack_section_title":null,"stack_section_description":"","powered_by_logo_url":"https://d36dj8u11ystvj.cloudfront.net/Talent500_PoweredBy+(1).png","cta_bg_color":"#FFFFFF","cta_text_color":"#2E3084","cta_border_color":"#FFFFFF","h1_font_size":null,"h2_font_size":null,"h3_font_size":null,"h4_font_size":null,"body_size_1":null,"body_size_2":null,"h1_font_w":null,"h2_font_w":null,"h3_font_w":null,"h4_font_w":null,"body_w_1":null,"body_w_2":null,"public_name":null,"use_public_name":false,"unique_id":"fe560037-15e1-43a3-839d-da26af3fa997","head_favicon_url":"","head_title":null,"privacy_policy_name":"Privacy Policy","privacy_policy_url":null,"mandate_privacy_policy":null,"ticker_title":null,"publish":true,"company_font_family":"5","use_company_font_on_jobs_page":true,"gallery_section_name":null,"about_section_name":null,"testimonial_section_name":null,"benefits_section_name":null,"culture_section_name":null,"jobs_section_name":"Openings","is_job_displayable":true,"is_onboarding_skip":false,"company_specific_workflow":0,"third_party_company":true,"is_vendor_third_party_company":false,"priority_order":0,"order_of_about_role":1,"order_of_about_company":2,"whatsapp_company_logo":null,"whatsapp_company_logo_url":"","whatsapp_job_bg_color":null,"whatsapp_job_text_color":null,"engagement_type":null,"font_family":5},"location":"India","primary_skills":["Airflow","Bitbucket","Collaborate","Data Engineer","Databricks","Git","Machine Learning","Mongo","Python","Redshift","SQL","Scala","data engineering","data lakes","data processing","data quality","data systems","databases","rotation","service data","software engineering"],"secondary_skills":[],"experience_range":"6 - 10 years","job_qualifications":["COMPUTER SCIENCE"],"screening_questions":[],"title":"Senior Data Engineer","description":"Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives,
Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth.
Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements.
Leverage deep technical expertise to design and architect scalable, high-performance data solutions.
Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.
Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval.
Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust.
Maintain full technical ownership of the end-to-end data engineering lifecycle for your team's solutions.
Participate in the team's on-call rotation to ensure platform stability and support operational health.
Partner with software engineering teams to design and build next-generation data systems that enable rapid, self-service data consumption.
A BE in Computer Science or equivalent with 6+ years of professional experience as a Data Engineer or in a similar role
Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.
Experience with Databricks and its APIs.
Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
Champion automated builds and deployments using CICD tools like Bitbucket, Git
Experience working with large-scale, high-performance data processing systems (batch and streaming)
Experience working for SAAS companies
Experience with Machine Learning
Committed code to open source projects
Experience building self-service tooling and platforms