Senior Data Consultant — Databricks & Snowflake, Remote

Datacom; Auckland; On-site; NZD 100,000 - 150,000; Full time

Benefits offered by this job

Social events

Chill-out spaces

Remote working

Flexi-hours

Professional development courses

Job summary

Datacom is seeking Databricks Data Engineers to join our growing analytics team and work on a broad range of customer projects. You will design data platforms and data stores, develop data pipelines, and build analytics tools to deliver actionable insights for clients.

You’ll collaborate with software developers, data scientists, and DW engineers to translate business requirements into scalable data solutions, while maintaining best practices in data quality and reliability across environments.

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.
• 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.

Responsibilities

• 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

Skills

Python

Java

Scala

C++

C#

Databricks architecture

DBT

Coalesce

Azure

AWS

GCP

SQL

Apache Spark

CI/CD pipelines

Education

Degree in Computer Science, Data Science, Statistics or related field

Tools

Databricks

DBT

Coalesce

GitHub

Azure DevOps

Job description

Datacom is seeking Databricks Data Engineers to join our growing analytics team and work on a broad range of customer projects. You will design data platforms and data stores, develop data pipelines, and build analytics tools to deliver actionable insights for clients.

You’ll collaborate with software developers, data scientists, and DW engineers to translate business requirements into scalable data solutions, while maintaining best practices in data quality and reliability across environments.