Data Analytics Engineer

Bengaluru, India

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Posted 1 day ago

Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. Everyone new to the team, along with our current staff, will temporarily work from home until it is safe to return to our offices.
Atlassian is looking for a Data Analytics Engineer to join our GTM - Data Analytics Engineering team and build world-class data solutions and applications that power crucial business decisions throughout the organisation. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop dashboards and data models to serve the needs of insights, and play an active role in making Atlassian data-driven. You love thinking about the ways the business can consume this data and then figuring out how to build it.
On a typical day, you may be consulted on the best practices for report development and governance, and help design and/or optimise the tableau platform. You will be working with different stakeholders to understand the business reporting needs and architect/build the data models, data extraction processes, and data applications that can help answer those needs. You have got industry experience working with large datasets and reporting platforms and data visualisation. Constantly striving to optimise the data analytics and BI platform with the goal of providing data with quality and trust. As a data expert, you will be partnering with our technology teams, analytical teams, and data scientists across various initiatives
You'll own a problem end-to-end, so those skills will come in handy not just to collect, extract, and clean the data, but also to understand the systems that generated it, and automate your analyses and reporting. On an on-going basis, you'll be responsible for improving the data by adding new sources, coding business rules, and producing new metrics that support the business. The requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.
More about youAs a senior Data Analytics Engineer, you will have the opportunity to apply your strong technical experience in building reports and governance models for BI analytics that support a broad range of analytical requirements across the company. You will work with other teams to continually evolve solutions as business processes and the requirements change. You enjoy working in a fast-paced environment and you are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to build reports and dashboards.

On your first day, we'll expect you to have:

  • 8+ years of professional experience as a Data Analytics Engineer or in a similar role
  • Experience in data warehouse modeling
  • Excellent Expertise in SQL can independently mine data to translate Business data needs into creative visualisations
  • Experience building data pipelines using Spark and/or Hive
  • Experience working on Amazon Web Services (in particular using S3, SQS and the like)It's preferred, but not technically required
  • Experience working in a technical environment with the following technologies: AWS data services (Redshift, Athena, EMR) or similar, Apache projects (Spark, Flink, Hive, Kafka)
  • You’re well versed in modern software development practices (Agile, TDD, CICD) and how they can apply to data engineering
  • A willingness to accept failure, learn and try again
  • An open mind to try solutions that may seem crazy at first
  • A BS in Computer Science or equivalent experience

We’d be super excited if you have:

  • Experience in developing, publishing and maintaining advanced reporting, analytics and dashboards using Tableau
  • Experience building self-service tooling and platforms
  • Above all else, as a Data Analytics Engineer, you will be engaged in the development process and incorporating business and technology strategy. You will be earning the trust of other developers in the team and then influencing them to build the ultimate analytical data model and pipelines.
More about the teamThe GTM - Data Analytics Engineering team is responsible for managing multiple analytical data models and data pipelines all across Atlassian, including finance, growth, product analysis, customer support, sales, marketing, etc - so there are endless opportunities for growth. We maintain Atlassian's data lake and build a creative and reliable analytics data model that provides a unified way of analyzing our customers, our products, our operations and the interactions among them.
You’ll be joining a team that is crazy smart and very direct. We ask hard questions and challenge each other to constantly improve our work. We are self-driven but team-oriented. We're all about enabling growth by delivering the right data and insights in the right way to partners across the company.
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.
Job tags: AWS Data Analytics Engineering Finance Kafka Marketing Redshift Spark SQL Tableau