Data Engineer – AWS & Snowflake (Melbourne)

Malvern East, Australia

Apply now Apply later

Company Description

Are you passionate about AWS and Snowflake, with hands-on experience helping customers overcome data engineering challenges and building modern data platforms? If so, this could be the perfect role for you! 

We are a customer-obsessed, “one stop shop” for all things data-related.  We are deliberately narrow in our focus areas, but we go deep in each of them.  We provide solutions, services and training in the data strategy, data governance, data security, data management, data classification, data wrangling, data lake, data analytics, data visualisation, artificial intelligence, machine learning and IoT areas.  Our solutions and services help transform customer organisations by teaching them how to turn their data into insight!   

We build on AWS and Snowflake, using the latest AWS services, best practices and reference architectures.  We deliberately focus on helping customers that are data-heavy but insight-light – federal & state government departments, universities, and high-performance sports organisations.   

Job Description

Your impact  

As an AWS Data Engineer, you will play a key role in working with customers to establish cloud infrastructure, build data pipelines and manage their data effectively.  You will have considerable experience working on data-related solutions using AWS and Snowflake, working alongside technical resources such as data analysts, data engineers, and data scientists to enable organisations to derive insights from their data. 

You will relish the opportunity to innovate, evolve and test existing assumptions and design bold solutions.  Your experience with large-scale data challenges and ability to create reliable, scalable cloud-based solutions, will see you thriving in this role!  

Candidates must be currently have full, unrestricted work rights in Australia.

Expectations 

  • Enjoy honing your technical skills and developing new ones, so you can make strong contributions to deep architecture discussions.  
  • Have a demonstrated ability to think strategically about solutions to business, product, and technical challenges. 
  • Possess an innate awareness of technology trends and how they impact the way businesses consume IT. 
  • Basic understanding of IT security and governance, including security standards, access policies, and data classification schemas. 
  • Passion for what you do and an instinct for making work enjoyable. 
  • A dynamic and creative mindset, willing to take on challenges that make a big impact. 
  • Enthusiasm for working in a small, agile, and friendly startup environment. 
  • A Technical degree required. (Examples include Computer Science, Data Science, Information Technology and similar) 

Qualifications

Technical Requirements: 

  • 3+ years of hands-on AWS & Snowflake experience, including designing, optimising, and managing data solutions. 
  • One or more AWS certifications required (Solution Architect, Developer, SysOps, Data Analytics, or Machine Learning Specialty). 
  • Strong background in data engineering, including real-time & batch pipelines. 
  • Proficiency in writing SQL and working with DBT for data transformation. 
  • Proficiency in at least one of the following programming languages Python, Java, TypeScript, SCALA or Spark. (Python preferred) 
  • Familiarity with data formats like JSON, AVRO, Parquet, and ORC. 
  • Solid understanding of databases, data security, governance, and transformation. 
  • Experience with DevOps tools (Bitbucket, Bamboo, Jenkins, Ansible) and CI/CD automation. 
  • Strong grasp of Infrastructure as Code (IaC), especially AWS CDK or Terraform. 
  • Snowflake performance tuning and security expertise (Highly Desirable). 
  • Knowledge of containers and networking fundamentals (Desirable). 

Additional Information

Join our team 

  • We’re passionate about the technical community we are a part of, and believe in contributing to open source and AWS initiatives 
  • We care about climate change and are always looking at ways to reduce our carbon footprint 
  • We support and contribute to a different cause each quarter 
  • We’re committed to developing your career with customised individual growth and development plans 
  • We’re committed to ensuring all our staff feel welcome, included and respected every day they work for The Data Foundry 

Can’t pass up this awesome opportunity? Apply now!

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  0  0
Category: Engineering Jobs

Tags: Agile Ansible Architecture Avro AWS Bitbucket CI/CD Classification Computer Science Data Analytics Data governance Data management Data pipelines Data strategy dbt DevOps Engineering Java Jenkins JSON Machine Learning Open Source Parquet Pipelines Python Scala Security Snowflake Spark SQL Teaching Terraform TypeScript

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: Australia

More jobs like this