Data Engineer
6 hours ago
Role: Data Engineer (Azure Databricks)
Location: Sydney
Permanent (Fulltime)
Responsibilities:
- Design, develop, and maintain scalable data pipelines using Apache PySpark and SQL.
- Collaborate with cross functional teams to support data migration projects and ensure data quality.
- Utilize Azure Databricks and Teradata/Cloudera for data processing and analytics.
- Implement DevOps practices to automate data workflows and improve deployment processes.
- Monitor and optimize data systems for performance and reliability.
- Document data engineering processes and maintain clear communication with stakeholders.
- Work independently and as part of a team to meet project deadlines.
Mandatory Skills:
- 5 years of experience in data engineering with a focus on Apache PySpark and SQL.
- Proficiency in Azure Databricks and experience with TERADATA or Cloudera.
- Hands on experience with Data Migration projects.
- Strong understanding of large systems architecture and data flow.
- Excellent oral and written communication skills.
- Self motivated with the ability to work under tight deadlines.
Preferred Skills:
- Familiarity with DevOps practices and tools.
- Experience with Python for data manipulation and analysis.
- Knowledge of data warehousing concepts and best practices.
- Experience in working with cloud based data solutions.
- Relevant certifications in data engineering or cloud technologies are a plus.
Interested Candidates can share their updated resumes on or can reach me on
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