Data Engineer
1 day ago
Remote anywhere in NZ
- Very high salary
- Scale, scale, scale
Our client is a global SaaS company headquartered in Melbourne, Australia.
As a software engineer, you will work together with a growing team to deliver the next generation, scalable data and analytics platforms. This is a somewhat greenfield role, a great opportunity to be part of the Data product build from inception.
Primarily, you’ll be involved in designing and building a reliable and highly scalable modern data platform, including the use of data marts and data warehouses across a range of technologies hosted with Amazon Web Services (AWS).
**Requirements**:
Here’s what you’ll be doing:
- Develop, test, automate and maintain Data Pipelines and API connectors.
- Monitoring, alerting, and debugging running services in production.
- BI/Software Development, data extraction and manipulations in Data Lake and Marts.
- Engineering with diverse data sets while modelling, analysis and profiling.
- Automate publishing of visualisations and ML models.
- Supporting and collaborating with other engineers following agile practises.
- Work closely with other engineering teams to ensure uptake of Data Platform and Data APIs by other teams
**In your toolkit**:
- 3+ years of experience in a similar role, as a solution designer, developer, tester or support in the tech industry.
- Experience working with relational databases and data warehouses such as Redshift, Snowflake, MySQL and/or Postgres.
- Experience working with NoSQL type databases such as Elasticsearch, Redis, or DynamoDB.
- Experience working with AWS Services (e.g. Glue, Athena, Lambda, Data Migration Service) or equivalent Azure or GCP tools, as well as Snowflake or another modern data platform.
- Experience or have knowledge of various Big Data technologies such as dbt, Kafka and Debezium
**Benefits**:
Bonus features:
- An interest in machine learning
- Some basic familiarity with Infrastructure as Code tools like Terraform or CloudFormation
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