Senior Data Engineer: Cloud Data Platform Expert

Slalom; City of Melbourne; On-site; AUD 100,000 - 130,000; Full time

Benefits offered by this job

holistic wellbeing benefits

professional growth investments

flexible work/life balance

Job summary

Slalom is seeking a skilled Data Engineer in Melbourne, Australia. In this role, you will deliver innovative data solutions using AWS, Azure, and GCP, while collaborating with forward-thinking organizations. Candidates should have over 4 years of data engineering experience and proficiency in SQL and Python.

A focus on cloud-based platforms and tools such as Azure Data Factory and Databricks is essential. Slalom values diversity and provides an inclusive workplace.

Qualifications

• 4+ years of hands-on experience in data engineering.
• Strong experience with cloud-based data platforms, preferably AWS.
• Experience with NoSQL Databases like DynamoDB or MongoDB.

Responsibilities

• Work with teams to deliver solutions on AWS, Azure, and GCP.
• Design and implement components of clients' data platforms.
• Break down complex tasks and complete development items on time.

Skills

data engineering

SQL

Python

cloud-based data platforms

data modeling

ETL best practices

data warehousing

CI/CD pipelines

Agile environments

NoSQL Databases

Modern Data Workflows

AI/ML Tools

Tools

Azure Data Factory

Databricks

Snowflake

Synapse

Job description

Slalom is seeking a skilled Data Engineer in Melbourne, Australia. In this role, you will deliver innovative data solutions using AWS, Azure, and GCP, while collaborating with forward-thinking organizations. Candidates should have over 4 years of data engineering experience and proficiency in SQL and Python.

A focus on cloud-based platforms and tools such as Azure Data Factory and Databricks is essential. Slalom values diversity and provides an inclusive workplace.