Job Description
We are looking for an experienced Data Engineer to join our growing team. If you have a robust background in Snowflake, Python, SQL, and PySpark, along with experience building scalable data pipelines and modern data platforms, we'd love to hear from you!
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Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
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Develop and optimize data solutions using Snowflake, SQL, Python, and PySpark.
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Work with Azure Data Lake (ADLS) and cloud-based data platforms.
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Build, automate, and deploy data solutions using CI/CD and DevOps practices.
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Optimize data models and improve data quality, performance, and reliability.
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Collaborate with cross-functional teams to deliver business-critical data solutions.
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Required Skills
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8-10 years of experience as a Data Engineer.
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Strong expertise in Snowflake.
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Hands-on experience with Python, SQL, and PySpark.
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Experience working with Azure Data Lake (ADLS).
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Knowledge of Microsoft SQL Server ****.
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Experience with CI/CD pipelines and DevOps practices.
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Strong understanding of data engineering best practices, performance tuning, and data integration.
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Nice to Have
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Experience with Azure cloud services.
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Knowledge of data warehousing and big data technologies.
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Excellent analytical and problem-solving skills.
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📌 Data Engineer (New South Wales)
🏢 Zone IT Solutions
📍 New South Wales