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3 weeks ago
Role : Data Engineer (AWS + PySpark + SSIS + DWH)Location : MelbourneDuration : 3 Months Contract
Job Description : Experienced professional with 5 to 7 years of IT experience.Design, develop, and optimize scalable ETL pipelines using PySpark for processing large-scale datasets.Implement and maintain SSIS packages for data integration and migration tasks across various systems.Build and manage data pipelines and workflows on AWS (S3, Glue, EMR, Lambda, Redshift).Develop and support data warehouse solutions, ensuring efficient data modeling and performance tuning.Collaborate with data analysts and business stakeholders to understand data requirements and deliver solutions.Monitor, troubleshoot, and improve the performance of data jobs and pipelines across cloud and on-premise systems.Implement data quality checks, validation rules, and error handling across pipelines.Ensure data security, compliance, and governance in all data engineering activities.Automate repetitive data ingestion and transformation processes for reliability and scalability.Maintain documentation for data flows, transformations, and architecture for knowledge sharing and compliance.
Interested Candidates can share their updated resumes on or can reach me on +61 290 559 949.
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