Data Engineer

Renaissance Infosystems Pte Ltd; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Renaissance Info Systems is seeking a senior data engineer to design, build, and maintain scalable data pipelines and data integration solutions. You will work with SQL, data modeling, and performance tuning to optimize databases, ensure data quality, and support governance, security, and compliance in enterprise environments.

Proficiency in Python, PySpark and/or Scala is required. Ideal candidates have strong analytical abilities and experience working in cross-functional, agile teams within

Qualifications

• 5+ years of hands-on experience in data engineering, data warehousing, or related data roles.
• Proven experience designing, developing and maintaining scalable data pipelines and data integration.
• Hands-on experience with Microsoft Azure Data Platform services.
• Strong experience in SQL, data modeling, performance tuning, and database optimization.
• Experience in data quality management: validation, monitoring, troubleshooting, and issue resolution.
• Proficiency using Python, PySpark and/or Scala for data solutions.
• Experience with data governance, security, privacy, and compliance in enterprise environments.

Skills

SQL

Data modeling

Performance tuning

Data governance

Python

PySpark

Scala

Tools

Azure Data Platform services

Job description

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.

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:
• 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.