Data Quality Engineer - SRKay Consulting Group
- Kuala Lumpur, Kuala Lumpur, Malaysia
- Apply by: Jan 01, 2026
- 1 Vacancy
- Local Candidates (Malaysia)
- Salary: 8000 MYR - 10000 MYR
- Shift: First Shift (Morning)
- Career Level: Experienced Professional
- Degree: Graduate
- Experience: Year
- Full Time/Permanent
- Work from Office
Job Description
Responsibilities:
- Work with business stakeholders, Business Systems Analysts and Developers to ensure quality delivery of software.
- Data Analysis including Data Sourcing & Transformation, Data Pre-Processing, and Data Visualization.
- Follow quality management best practices and processes to bring consistency and completeness to integration service testing
- Design, develop and implement comprehensive QA test plans and test cases, tools and infrastructure for assigned areas
- Design, develop, automate, monitor and maintain data quality assurance processes that transfer data to and from internal and external locations.
- Designing and managing the testing AWS environments of data workflows during development and deployment of data products
- Design, development of Reports and dashboards.
- Analyzing and evaluating data sources, data volume, and business rules.
- Work with team leads to prioritize business and information needs
- Troubleshoot & determine best resolution for data issues and anomalies
- 5+ years of experience as Data Quality engineering
- Proficiency with SQL, familiarity with Python and AWS.
- No SQL data and unstructured data experience.
- Extensive experience in programming tools like Map Reduce to HIVEQL
- Should be well versed with the Data flow and Test Strategy for ETL Testing.
- Interpret and analyses data from various source systems to support data integration and data reporting needs.
- Experience in testing Database Application to validate source to destination data movement and transformation.
- Work with team leads to prioritize business and information needs.
- Develop complex SQL scripts (Primarily SQL) for ETL.
- Knowledge of Data modelling and Data warehousing concepts with emphasis on ETL.
- Execute testing of data analytic and data integration on time and within budget.
- Experience in Functional Testing, Regression Testing, System Testing, Integration Testing & End to End testing.
- Has deep understanding of data architecture & data modelling best practices and guidelines for different data and analytic platforms
- Experienced in large-scale application development testing – Data warehouse, Data Lake, Big Data, BI reporting
- Experience with multi-year, large-scale projects
- Expert technical skills with hands-on testing experience using SQL queries.
- Extensive experience with both data migration and data transformation testing
- Extensive experience testing DBMS like Oracle, Teradata, SQL Server, DB2 and Sybase.
- Extensive testing Experience with SQL/Unix/Linux.
- Extensive experience testing ETL (e.g. Abinitio, Informatica, SSIS, Datastage, Alteryx, AWS Glue)
- Extensive experience testing Python and AWS and Cloud Technologies.
- Extensive experience in DevOps/Data Ops space.
- Extensive experience testing No SQL data and unstructured data experience like MongoDB, Cassandra, Redis, Redshift, ZooKeeper.
- Extensive experience in testing Map reduce using tools like Hadoop, Hive, Pig, Kafka, S4, Map R.
- Extensive Experience using Jenkins and Gitlab
- Experience using both Waterfall and Agile methodologies.
- Experience in testing storage tools like S3, HDFS
- Experience with one or more industry standard defect or Test Case management Tools
- Great communication skills (regularly interacts with cross functional team members)
- Proven aptitude in reconciling business requirements with testing requirements
- Ability to comprehend high levels of complex details
- Ability to problem-solve in time constrained situations
- Proven written and verbal communication and presentation skills
- Detailed, highly organized and time efficient
- Experience in varied technology projects throughout all phases. Ability to conduct usability testing.
Benefits
SCIKEY is one of the fastest growing startup company with headquarters in India and offices in Malaysia, USA, UK, Singapore, and Finland. With more than 200 customers across several countries, SCIKEY is fast becoming a well-recognized Market Network brand for talent and business solutions.
We have a work culture focused on innovation and creating lasting value for our clients and employees. The learning opportunities within our organization help you acquire new skills or deepen existing expertise.
We have a diverse, inclusive, meritocratic culture, and our flat, non-hierarchical structure enables you to work with senior partners and directly with clients.
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