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    Data Engineer - Sydney, Australia - Deputy

    Deputy
    Deputy Sydney, Australia

    Found in: Talent AU C2 - 5 days ago

    Default job background
    Full time
    Description

    Responsibilities

    :
  • Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our data warehouse.
  • Maintain and build on our data warehouse and analytics environment.
  • Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
  • Identify, design, and implement process improvements such as: improving database performance, optimising data delivery and re-designing infrastructure for greater scalability, and maintainability among many things
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources within our AWS and data warehouse ecosystem.
  • Implement and monitor best in class security measures in our data warehouse and analytics environment, with an eye towards the evolving threat landscape.
  • Work with stakeholders including the Engineering, Product, Data Analytics and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Help data analysts troubleshoot their SQL, Python, or R code.
  • Skills & Experience:

  • Strong command of relational databases and SQL. Extract, Transform, and Load (ETL) data into a relational database. We use Snowflake, Redshift, DynamoDB, MySQL and DBT.
  • Proficiency with Python or R, especially for data manipulation and analysis, and ability to build, maintain and deploy sequences of automated processes with these tools.
  • Advance data manipulation skills: read in data, process and clean it, transform and recode it, merge different data sets together.
  • Demonstrated ability to write clear code that is well-documented and stored in a version control system. We use Git.
  • Use APIs to push and pull data from various data systems and platforms.
  • Experience in building and maintaining a dimensional data model using type 2 dimensions.
  • Demonstrated ability to learn new techniques and troubleshoot code without support, ex. find answers to common programming challenges on Google. In other words, be able to learn on the job.
  • Excellent listening, interpersonal, communication and problem solving skills.
  • Demonstrated ability to work effectively in teams, in both a lead and support role.
  • Demonstrated ability to work independently and be a self-starter.
  • Nice to have:

  • Software engineering, data science, data analytics experience
  • Experience in Docker
  • Knowledge of building data lake or data warehouse.
  • Knowledge of handling streaming data.
  • Experience in Infrastructure as Code and CICD practice.
  • ML or predictive analytics experience.
  • Experience in web or mobile application development.
  • Employee Perks - Share Options - Paternity/Maternity Leave Policies - Flexible Work Policy - Company wide Development & Coaching - Hackathons - Awards - "Your Time to Shine & Celebrate Success"- Social Events & variety of social clubs (Books, LGBT, Games, Sports) - Mental Health Support - Munch & Learns Deputy believes in equal opportunity and that inclusiveness and diversity promotes innovation. Our global team members are from a variety of cultures. And we welcome different perspective and skills. #LI-Hybrid

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