Highly Experienced Data Engineer for ETL and Azure Databricks Solutions
7 days ago
Ampersand International is seeking a seasoned Data Engineer to join our team. This role offers a unique opportunity to shape the company's data strategy and lead the development of cutting-edge ETL and ELT pipelines.
Key Responsibilities:
- Design, implement, and maintain scalable ETL/ELT processes using Azure Databricks, Python, and SQL.
- Collaborate with cross-functional teams to ensure seamless integration of data engineering solutions into the existing architecture.
- Develop and optimize real-time data pipelines using Databricks and PySpark, focusing on high-performance and low-latency processing.
- Analyze complex data sets to identify trends and opportunities for improvement, providing actionable insights to inform business decisions.
- Communicate technical findings and recommendations to both technical and non-technical stakeholders, promoting a culture of collaboration and knowledge sharing.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- At least 5 years of experience in data engineering roles, with a strong background in designing and optimizing ETL/ELT processes.
- Expertise in cloud-native data technologies like Azure Databricks and GCP BigQuery, with experience integrating them into data ecosystems for advanced processing and analytics.
- Excellent communication, leadership, and mentoring skills, with a growth mindset and commitment to continuous learning and professional development.
About the Role:
This position offers a competitive salary range of $144,000 - $160,000 per annum, depending on experience, plus superannuation and performance-based bonuses.
How to Apply:
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