Ingrity8 jobs

Data Engineer

Mid levelContractHybridSydney NSW, AustraliaDataInformation technologySoftware engineeringPosted 2 months ago
View your fit0 of 9 criteria met

About the job

This job is about joining a dynamic data team as a Data Engineer, where you will leverage your Databricks expertise to design, build, and optimize large-scale data pipelines. Your work will ensure high data quality and support analytics initiatives, making a significant impact on the organization’s data-driven decisions. The team values collaboration and innovation, working closely with data analysts, data scientists, and product teams to deliver reliable datasets.

You'll be responsible for

🔧

Developing and maintaining ETL/ELT pipelines

Develop and maintain scalable ETL/ELT pipelines using Databricks (Spark, Delta Lake).
🏗️

Building and optimizing data lakehouse architectures

Build and optimize data lakehouse architectures for batch and streaming workloads.
🤝

Collaborating with cross-functional teams

Collaborate with data analysts, data scientists, and product teams to deliver reliable datasets for reporting and ML models.

Skills you'll need

📊

Databricks

Hands-on experience with Databricks, Apache Spark, and Delta Lake is essential for this job.
🐍

SQL and Python

Strong SQL and Python skills are required to effectively manage and manipulate data.
☁️

Cloud platforms

Familiarity with cloud platforms like Azure, AWS, or GCP is necessary for supporting infrastructure.
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Meet the team

About the company

View your fit

0 of 5 criteria met
4+ years of data engineering experience
Proven background in data engineering with substantial experience.

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Hands-on Databricks expertise
Demonstrated experience with Databricks, Apache Spark, and Delta Lake.

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Strong SQL and Python skills
Proficient in SQL and Python for data manipulation and analysis.

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Familiarity with cloud platforms
Experience with Azure, AWS, or GCP for data solutions.

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Experience with data orchestration tools
Knowledge of tools like Airflow, dbt, or ADF for pipeline management.

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