Data Engineer
Melbourne, Victoria, Australia
Whispir
In a world of information overload and scattered messaging, our secure, all-in-one communications platform makes it easy to engage on a human level.About us
It’s our mission to build a world that communicates more humanly. Since 2001, we’ve been delivering innovative and powerful communication solutions. Today, we’re a communication intelligence company applying powerful machine intelligence and carefully developed algorithms to deliver effective human engagement at scale even when we are not face to face — all guided by our values of Listening, Respect, Innovation, and Passion.
Our customers use Whispir to communicate across multiple channels from SMS to email, to dynamic landing pages, voice and more – all easily configured to meet their specific needs. All of our customers benefit from our low code – no code platform and powerful APIs. Our promise is to deliver a platform capable of achieving the world’s highest engagement rates.
About the position
Key responsibilities
- Create and maintain optimal data pipeline architecture.
- Write, design, develop and build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
- Build analytics tools and correct errors and faults in the tools. Assist in using analytical tool that uses data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members and provide technical guidance and strategies that assist them in building and optimising our product into an innovative industry leader.
- Research and identify limitation within the current systems and processes. Design, test, install and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
About you
Even if you don't meet this criteria perfectly but believe you have lots to bring to the role, we encourage you to apply. We know it’s tough, but please try to avoid the confidence gap - you don’t have to match all the listed requirements exactly to be considered for this role.
- Data tooling skills (Spark, Hadoop, Hive, Airflow)
- Be proficient in big data programming languages (Scala, Python, SQL, Java)
- Bachelor of Computer Science or a Bachelor of Software Engineering
- 3 + years of experience
Why We Think You'll Love Working at Whispir
- Totally flexible working hours because you know how to get the most out of your day
- Birthday paid leave
- Volunteer and engage with community paid leave
- Ongoing monthly WFH allowance
- Women of Whispir program to connect senior female leaders with women across the company to promote connection, networking and mentoring opportunities
Whispir is an endorsed employer for all women; check out our benefits directly at WORK180: Whispir Benefits | WORK180 Endorsed Employer
Diversity & Inclusion
Whispir places a high value on inclusion. Those from under represented communities are encouraged to apply. This includes, but is definitely not limited to, people with a lived-experience of mental ill health, culturally and linguistically diverse people, LGBTQIA+ people, and people with disabilities.
We take our core values seriously and work hard to create an environment where you feel welcomed. Teams who reflect a diversity of experience, identity, perspective, and background help us to create a healthy & inclusive working culture
If this has resonated with you, we look forward to hearing from you soon!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Big Data Computer Science Engineering Hadoop Machine intelligence Python Research Scala Spark SQL
Perks/benefits: Flex hours Health care
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