Atlassian Careers 2024 for its Data Engineer, Atlassian Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. If you are interested, Please apply as soon as possible.
Company Name: Atlassian
Role: Data Engineer
Location: Work From Home
Experience: Freshers
Qualification: Bachelors/Masters Degree
Batch: Any Batch
Job Type: Work From Home
Salary: Rs.3-4LPA
Atlassian Careers 2024
Job Description:
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
You will be part of a world-class Data Engineering team, where you will:
- influence product and business teams
- inform Data Science and Analytics Platform teams
- partner closely with data consumers and producers to ensure quality and usefulness of data assets
You will be involved in strategizing measurement, collecting data, and generating insights.
This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.
Requirements:
- Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
- 2+ Years of Experience in Data Engineering or related fields
- Expertise in Python or other modern programming language development experience
- Knowledge of advanced level capabilities in SQL and relational databases experience
- Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
- Experience working with product analytics
Responsibilities:
Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including:
- Defining metrics
- Instrumenting logging
- Acquiring/ingesting data
- Architecting & modeling data
- Transforming data
- Ensuring data quality, governance, and enablement
- Alerting, visualization, and reporting
- Developing at scale and improving efficiency
- Working autonomously and adding perspective to the team
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