Data Engineer

Location: Sydney

Years of Experience: 5-7 years The below tools experience required for the roles.

Any one Skill Required

- Microsoft Purview
- Varonis
- BigID
- IBM Guardium
- Netwrix
- Proofpoint

Job Summary: We are seeking a skilled Data Engineer with a strong background in data engineering principles and practices. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines and architectures. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and actionable.

Responsibilities

- Design, develop, and maintain robust data pipelines to support data ingestion, transformation, and storage.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Implement data models and architectures that support analytics and reporting needs.
- Optimize data processing workflows for performance and scalability.
- Monitor and troubleshoot data pipeline performance and reliability issues.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Document data engineering processes, architectures, and best practices.
- Stay updated with the latest trends and technologies in data engineering and analytics.

Mandatory Skills:




- Strong expertise in data engineering concepts and practices.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Solid understanding of SQL and database management systems.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

Preferred Skills:
- Knowledge of data governance and data security best practices.
- Experience with machine learning frameworks and libraries.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Understanding of Agile methodologies and project management practices.

Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5-7 years of experience in data engineering or a related role.
- Solid analytical and problem-solving skills.
- Excellent communication and collaboration abilities.

Regards,

Reshu Seth

Recruitment Consultant

Renaissance InfoSystem

M: +61 478 487 026

E: [email protected]

W: http://www.reninfo.com.au

📌 Data Engineer (Sydney)
🏢 Renaissance InfoSystems
📍 Sydney