Contract - Senior Consultant - Data
On-siteAuckland, Auckland, New Zealand or Christchurch, Canterbury, New Zealand
Job Summary
Design data platforms, distributed systems, and data lakes while creating software solutions for data ingestion and integration. Develop and operationalize reliable data pipelines and ETL patterns to build analytics tools that provide actionable insights. Wrangle and integrate data from multiple sources to improve reliability, efficiency, and quality. Translate business requirements into scalable data solutions using Snowflake architecture and Databricks. This role requires a degree in Computer Science or related field with minimum 3+ years in Databricks development. Candidates must possess strong programming skills in Python, Java, Scala, or C#, along with experience in CI/CD pipelines and cloud platforms like Azure, AWS, and GCP. Based anywhere, this contract position offers flexi-hours and remote working opportunities within a flat-structured, inclusive team focused on data innovation across Australia and New Zealand.
Required Qualifications
- Degree in Computer Science, Data Science, Statistics or related field
- Minimum 3+ years' experience in Databricks development
- Experience developing and deploying data pipelines into live environments
- Ability to connect to customer's specific business problems and Snowflake's solutions
- 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
- Extensive knowledge of Databricks architecture and features
- Experience in the design, development and implementation of data solutions using Databricks
- Experience with DBT and/or Coalesce
- 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
- Must be able to lift 50 lbs
Desired Qualifications
- Machine Learning frameworks and theory
- Analytic platforms & tools such as Databricks, Alteryx, SAS, KNIME or Datarobot
- Data vault / Kimball modelling methodology
- DevOps / DataOps
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