AUS - Data Quality Engineer
at Synechron
Remote, Tasmania, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 15 Aug, 2024 | Not Specified | 16 May, 2024 | N/A | Cloud,Financial Services,Technology | No | No |
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Description:
ABOUT US
Synechron began in 2001 as a small, self-funded team and we have continued building from the ground up, watching our organisation grow to over 14,500+ people spread across 43 offices in 18 countries within key global markets.
From our solid financial services industry foundation, Synechron have become a prominent global digital consulting firm for large financial services and technology firms. With a key focus on trust and in partnership with our clients, we’re leading modernisation and digital optimisation journeys with expertise that spans Consulting, Data, Digital, Cloud & Dev Ops and Engineering.
- Leaders in change, pioneering digital experiences and technology for a better tomorrow
- Deliver best in class solutions for top financial services and technology firms globally
- Our business and community is driven by embracing key core values
- We strive every day to create a workplace that allows everyone to feel valued, celebrated, and respected no matter who they are..
Responsibilities:
ROLE OVERVIEW:
The Data Quality Engineer is responsible for ensuring the accuracy, completeness, and consistency of data in both transactional and analytical systems. The role requires hands-on experience in data quality analysis, API testing, and proficiency in using various testing tools. The Data Quality Engineer will work closely with data engineers, developers, and business analysts to validate data flows and processes, identify data quality issues, and coordinate testing activities to maintain high data standards.
KEY RESPONSIBILITIES:
Design and implement data quality tests to ensure that data used for analysis is accurate, complete, and reliable.
Develop automated data quality testing procedures to validate data from various sources, including databases, data warehouses, and external APIs.
Analyze data to identify data quality issues and work with data engineering teams to resolve them.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - QA & Testing
Software Engineering
Graduate
Proficient
1
Remote, Australia