Data Engineer - Azure Databricks

AC3; Sydney; Hybrid; AUD 203,000 - 221,000; Full time

Benefits offered by this job

Hybrid work

Office in Sydney CBD

ASAP start

Job summary

AC3 is seeking an experienced Data Engineer to help migrate a client to Azure Cloud and modernise the platform using Databricks Medallion architecture.

You will create data pipelines, model data and build scalable data platforms while collaborating with analytics teams to visualise insights. Requires 5+ years in data engineering, SQL/Python and cloud data platforms. Hybrid work in Sydney with 2 days in the office per week, ASAP start.

Qualifications

• 5+ years of experience as a Data Engineer.
• Experience building processes that transform, structure and extract value from data.
• Experience in machine learning, data mining, math and statistical modelling and analysis.
• Knowledge of data platform concepts: data lakes, data warehousing, big data processing and real-time processing.
• Scheduling and monitoring of ETL/ELT workflows.
• Proficient in SQL, Python, SQL Server, NoSQL and Oracle databases.

Responsibilities

• Create and maintain data pipelines and infrastructure using diverse storage technologies.
• Develop scalable data platforms using APIs and quality frameworks to handle increasing data volume.
• Help establish data mining, data modelling and data protection processes and standards.
• Create data models in Databricks and Medallion architecture.
• Create clear data visualisations to communicate findings to stakeholders.
• Collaborate with the data and analytics team to enhance data models.
• Assist with building and optimising data pipelines and infrastructure.

Skills

Data transformation

ETL/ELT scheduling

Data modeling

Data mining

Statistical analysis

Cloud data platforms

Collaboration

Education

Bachelor’s Degree in Data Science or related field

Tools

Databricks

ADF

Logic Apps

Data Lake Gen2

Python

SQL Server

NoSQL

Oracle

Job description

• Hybrid work with 2 days/week in Sydney CBD office
• Great team, collaborative and supportive environment
• ASAP start - $1,100-$1,200/day

About the company

At AC3, our purpose is to make technology real, and as the leader in secure multi-cloud solutions, we get to do this for our customers every day. We are an Australian owned IT Services Company, with offices in Sydney, Melbourne, Brisbane and Auckland, servicing over 50% of the NSW State Government and over 1,200 enterprise customers in Australia & NZ.

Our expertise:

• Cloud and infrastructure
• Cyber security
• Software and data integration
• ServiceNow

For this opportunity, we're looking for an experienced Data Engineer to work with one of our customers and help them while they're migrating everything to Azure Cloud and modernising their platform.

The position

As aData Engineer, you'llbring your expertise to help transition some elements into the Databricks Medallion architecture.

• Create and maintain a data pipeline and infrastructure that utilizes diverse storage technologies.
• Develop a scalable data platforms using APIs and quality frameworks for increasing data volume and complexity.
• Assist in the establishment of processes and standards for data mining, data modeling, and data protection.
• Create data models into Databricks and Medallion architecture
• Create clear and effective data visualisations to communicate findings to stakeholders.
• Collaborate with the broader data and analytics team to enhance data models.
• Assist with building and optimising data pipelines and infrastructure

Requirements

• 5+ years of experience as a Data Engineer
• Experience developing processes that support data transformation, data structures, and the manipulation, processing, and extraction of value from datasets.
• Experience in machine learning, data mining, mathematics and statistical modelling and analysis.
• In depth knowledge of data platform concepts, including data lakes, data warehousing, big data processing, real-time processing architecture (ADF, Databricks, Logic Apps, Functions, Data Lake Gen2)
• Scheduling, and monitoring of ETL/ELT workflows.
• Experience with SQL, Python, SQL Server, NoSQL and Oracle databases.
• Experience with data pipeline and workflow management tools, and Cloud data platforms.
• Bachelor’s Degree in Data Science or a similar related field.