
Data Engineer
2 weeks ago
Overview
Job Description:
Responsibilities
Design, build, and maintain scalable data pipelines for structured and unstructured data.
Develop and optimize SQL queries and ETL/ELT processes for efficient data flow and transformation.
Collaborate with data scientists, analysts, and business teams to understand data needs.
Implement and manage data storage solutions such as data lakes and data warehouses.
Ensure data quality, integrity, and security across all platforms.
Work with Data Engineering or Big-Data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).
Optimize database systems and queries for performance and scalability.
Automate data workflows and monitoring processes to reduce manual intervention.
Document data architecture, pipelines, and processes for easy knowledge sharing.
Stay updated with emerging data engineering tools, technologies, and best practices.
Contact
Interested Candidates can share their updated resumes on sourabh.sood@carecone.com.au or can reach me on +61 251 103 879.
Engagement Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Information Services, Data Infrastructure and Analytics, and Technology, Information and Media
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