Data Senior Consultants - Tauranga
Datacom, New Zealand
Job Description
Our purpose
Here at Datacom we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in.
Our team
The Data and Analytics team are a progressive group of diverse and creative individuals with a deep love for all things data related. They build platforms and solutions that are leading edge and at the forefront of the technology curve. A close knit and fun team embedded within our rapidly growing Professional Services division, and part of the wider Datacom ecosystem.
The Nitty Gritty
We have over 6,200 people across our global offices, and generate an annual revenue of over $1.2 billion, this makes us one of Australasia’s largest professional IT services companies. We have extensive expertise in operating data centres, providing IT services, software engineering and application management, as well as payroll and customer service design and operations. With this comes a long list of significant clients. Datacom is committed to hiring, developing and promoting the best talent from a diverse range of backgrounds. We are local at heart, yet world-class in capability.
About the Role
We’re looking for Senior Data Engineers to join our growing analytics team and work on a broad range of customer projects with one common denominator data. You’ll be working closely with our software developers, data scientists, DW engineers and data storytellers and will be responsible for creating and maintaining data architectures that enables data driven insights and innovation for our customers. In short, you’ll be building modern data platforms and get to work with cutting edge data technologies in an Agile and fast paced environment.
What you’ll do
- Design data platforms, distributed systems, data lakes amp; data stores
- Creating software solutions for data ingest amp; integration
- Developing and operationalising reliable data pipelines amp; ETL patterns
- Building analytics tools to provide actionable insights and solve business problems
- Infrastructure development
- Wrangling and integrating data from multiple sources
- Identifying ways to improve data reliability, efficiency and quality
Technical skills
- Strong programming skills, especially Python, Java, Scala, C++, C# etc
- Cloud platforms such as Azure, AWS amp; GCP
- Relational database management systems such as SQL Server, Redshift etc
- Distributed processing technologies such as Apache Spark
- Working knowledge of message queuing, stream processing, and highly scalable data stores.
Required Skills and Qualification
- Degree in Computer Science, Data Science, Statistics or related field
- Experience developing and deploying data pipelines into live environments
- A passion for lean, clean and maintainable code
- Strong analytic skills related to working with datasets, both structured and unstructured
- Curious and enthusiastic mindset
- The desire to grow and to share insights with others
Helpful Knowledge
- The desire to grow and to share insights with others
- Machine Learning frameworks and theory
- Analytic platforms amp; tools such as Databricks, Alteryx, SAS, KNIME or Datarobot
- Data vault / Kimball modelling methodology
- DevOps / DataOps
If you are interested in learning more or this sounds like you, just click apply now!