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Data Quality Engineer

Annual Salary Over $100,000.00

Professionals - Database and Systems Administrators, and ICT Security Specialists

WA - Other Regional (Post code: 6000)

Recruiting numbers: 1

Expiration date: 04-Dec-2024

Full Time
06-Nov-2024 update visited:
Job requirements

Educational requirements: Bachelor

English requirements: Competent English

Requirements for skilled employment experience for years: 3-5 years

Required residence status: Temporary visa, Permanent resident, Citizen

Accept remote work: unacceptable

Roles and Responsibilities: Perform data profiling and Data domain discovery on the source data to understand the business metadata Understanding the match rules and perform auto-match to prepare the match reports Tweaking match rules, performing fuzzy match on the source data to improve the match percentage with business approval Developing Data Quality flows to push the source data into MDM BO tables to master the data Building the Manual Match framework to perform manual match with the help of Data Stewards Creating outbound flows to push the data into downstream for CIM consumption Automation of the flows using inbuilt Informatica scheduler and Unix scripting Work closely with customers to understand the requirements, match rules to master the equipment/component data Data analysis and advance profiling to have an understanding on the source data Design and build the Data Quality ingestion process which is the foundation for MDM Work with various on-prem and cloud-based data platforms, technologies and services Developing the downstream flow to push the data for CIM consumption Delivering the code keeping in mind the best practices to enhance job performance End to end automation of the Data Quality process and MDM job invocation for real time data processing for both inbound and outbound processes 7 years of experience across various ETL tools: IBM Datastage, Informatica Powercenter and Informatica Developer · 4 years of experience in Data Quality Engineering, Data Domain Discovery and Data Profiling Exposure across various structured and unstructured databases- MSSQL, Oracle, IBM DB2, Netezza, HIVE, Snowflake · Working knowledge of Master Data Management process (Informatica MDM) and also on Reporting (Cognos) and Data Visualization (Tableau) tools ·
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Last online time: 19-Jan-2024 11:28
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