DatacomDA

Data Senior Consultants

Datacom
New Zealand only
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Our team

The Data and Analytics team is 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. This role can be based anywhere, so you choose your lifestyle and we have the role for you.

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 & data stores
  • Creating software solutions for data ingest & integration
  • Developing and operationalising reliable data pipelines & 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

  • Experience in Snowflake/DBT
  • Strong programming skills, especially Python, Java, Scala, C++, C# etc
  • Cloud platforms such as Azure, AWS & 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.
  • Experience building CI/CD Pipelines such as GITHUB, Azure DevOps, etc

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 & tools such as Databricks, Alteryx, SAS, KNIME or Datarobot
  • Data vault / Kimball modelling methodology
  • DevOps / DataOps

Why you want to join us...

Here at Datacom, It's the People! We are caring and humble and foster an environment where we can bring our best selves to work. Our people make the difference.

A value we hold strong, it's our fantastic team that’s testament to the continued success of our business.

Your career and continued learning and development are front and center of conversations in our teams. If you choose a technical career focus, or leadership and supporting people is your thing, we have a pathway that will help you achieve these goals! Not to mention an amazing team of experienced mentors to support you getting there. We have a leadership framework created for people through all stages of their career journeys.

Datacom’s reputation has been shaped by investing in our people, our culture, and, ultimately, our clients. We can offer the most exciting customer opportunities, whilst ensuring stability, opportunity, and great benefits!

Through challenging times recently and last year, where we have seen the Nation locked down, we carry on, working remotely, and in more ‘normal’ times we offer the flexibility and benefits of a hybrid working model. We’ve even continued to thrive and grow through these times!

If the role sounds like you and you’re keen to join our fantastic team, apply online today!

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About the job

Apply before

May 25, 2024

Posted on

Mar 26, 2024

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

New Zealand +/- 0 hours
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