Data Engineer

Renaissance Infosystems Pte Ltd; Sydney; Vor Ort; AUD 120.000 - 170.000; Vollzeit

Zusammenfassung

Renaissance Info Systems in Sydney is seeking an Azure Data Engineer I to join our data team. You will design, develop and maintain scalable data pipelines using Azure Data Factory, Databricks, ADLS, Synapse, and SQL.

The role requires 5+ years of hands-on data engineering experience, strong SQL and data modeling skills, and proficiency in Python, PySpark or Scala. You will work with data governance and security standards in an enterprise environment.

Qualifikationen

• 5+ years of hands-on data engineering experience.
• Design, develop, and maintain scalable data pipelines.
• Hands-on with Microsoft Azure Data Platform services.
• Strong SQL, data modeling, performance tuning.
• Experience with data governance, security, and compliance.
• Proficiency in Python, PySpark, or Scala.

Aufgaben

• Design, build, and maintain scalable data pipelines.
• Implement and optimize data integration via Azure services.
• Collaborate with cross-functional teams in an Agile environment.
• Ensure data quality, governance, and security compliance.
• Provide performance tuning and data modeling improvements.

Kenntnisse

Data engineering

Azure Data Platform

SQL

Data modeling

Python

PySpark

Scala

Data governance

Data quality management

Stakeholder management

Tools

Azure Data Factory (ADF)

Azure Databricks

Azure Data Lake Storage (ADLS)

Azure Synapse Analytics

Azure SQL

Jobbeschreibung

About Us: Renaissance Info Systems is a technology and digital recruitment agency, connecting contract and permanent professionals with clients across Asia-Pacific. We aim to differentiate ourselves through our level of responsiveness, and our understanding that comes from being an IT recruitment agency from the IT Industry. Our recruiters balance sophisticated and simple inter-personal techniques to assure a strong candidate network. Know More: http://www.reninfo.com.au.

Azure Data Engineer I Sydney I Full-time

Job Description

• 5+ years of hands-on experience in data engineering, data warehousing, or a related data-focused role.
• Proven experience in designing, developing, and maintaining scalable data pipelines and data integration solutions.
• Hands-on experience with Microsoft Azure Data Platform services, including:
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Azure SQL
• Strong experience in SQL, data modeling, performance tuning, and database optimization.
• Experience in data quality management, including validation, monitoring, troubleshooting, and issue resolution.
• Proficiency in developing data solutions using Python, PySpark, and/or Scala.
• Experience working with data governance, security, privacy, and compliance requirements in enterprise environments.

Preferred Skills

• Strong analytical and problem-solving capabilities.
• Ability to work effectively in cross-functional and agile teams.
• Excellent communication and stakeholder management skills.
• Experience with modern cloud-based data architecture and best practices.