KPMG
Senior Consultant (Azure Synapse Data Engineer) |Enterprise |Technology Integration
KPMG provides a full range of services tailored to meet the unique needs of mid-sized, fast growing and family owned businesses.
Data and Analytics
Full-time
Office | Sydney, Australia
Visa sponsorship · No
Mid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.
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Why KPMG
Welcome to KPMG. We are a global network of professional firms providing Audit, Tax and Advisory services across a wide range of industries, government and not for profit sectors. KPMG provides a full range of services tailored to meet the unique needs of mid-sized, fast growing and family owned businesses.
In Australia, KPMG has a long tradition of professionalism and integrity, combined with our dynamic approach to helping clients in a digital-driven world. We have approximately 6,700 people, including over 400 partners, with 13 offices around the country.
About the role
We are seeking a high caliber Azure Synapse Data Engineer to join our dynamic team, who will be immersed in the data engineering development lifecycle, working with clients to understand their data problems and architecting, developing and implementing robust data pipelines to deploy high-quality solutions.
What you'll be responsible for
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Data Cleaning and Preparation
Extract and clean data ready to use in analysis or to users
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Data Analysis and Reporting
Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions
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SQL and Databases
Use SQL to query databases to extract and process data
Skills you'll need
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Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities
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Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
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Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables
Meet the team
