We are looking for an experienced
Data Engineer
to join our growing team. If you have a strong background in
Snowflake, Python, SQL, and PySpark
, along with experience building scalable data pipelines and up-to-date data platforms, we'd love to hear from you!
Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
Develop and optimize data solutions using
Snowflake, SQL, Python, and PySpark
.
Work with
Azure Data Lake (ADLS)
and cloud-based data platforms.
Build, automate, and deploy data solutions using
CI/CD and DevOps
practices.
Optimize data models and improve data quality, performance, and reliability.
Collaborate with cross-functional teams to deliver business-critical data solutions.
Required Skills
8-10 years of experience as a




Data Engineer
.
Strong expertise in
Snowflake
.
Hands-on experience with
Python, SQL, and PySpark
.
Experience working with
Azure Data Lake (ADLS)
.
Knowledge of
Microsoft SQL Server ****
.
Experience with
CI/CD pipelines and DevOps practices
.
Strong understanding of data engineering best practices, performance tuning, and data integration.
Nice to Have
Experience with Azure cloud services.
Knowledge of data warehousing and big data technologies.
Excellent analytical and problem-solving skills.
#J-*****-Ljbffr

📌 Data Engineer (Sydney)
🏢 Zone IT Solutions
📍 Sydney