Senior Data Engineer cum Modeller - SRKay Consulting Group
- Shah Alam, Selangor, Malaysia
- Apply by: Jan 01, 2026
- 1 Vacancy
- Local Candidates (Malaysia)
- Salary: 10000 MYR - 12000 MYR
- Shift: First Shift (Morning)
- Career Level: Experienced Professional
- Experience: Year
- Contract
- Work from Office
Job is expired
Job Description
Senior Data Engineer cum Modeller responsible for Business Intelligence related areas in terms of end to end process of user requirement analysis, design, build, test and support user-specific requirements in conformance with company adopted quality standards in the entire BI life cycle. The applications which the incumbent will be responsible for cover the company Enterprise Data warehouse and reporting tools. Will be reporting to Head of Sub Section (BI & Analytic).
You are: (personality / competencies etc)
• Able to lead a small team (Team Lead)
• Passionate and possess strong ownership in area of work.
• Understand customers, business needs and expectation, constantly seek improvement in area of work
and drive the success of team’s work targets and expectation
• Adaptable to flexible working hours.
• Excellent problem solving skills and like new challenges
• Contribute and enhance the improvement require for existing process
• Customer service oriented mindset and able to assess impact of operational problem and advice
relevant mitigation
• Good understanding of the end to end value chain, both technical and business
• Team player, responsible, reliable, and take ownership until task are fully completed E2E
• Comply to all the company SOPP & audit
Your responsibilities
• Work closely with Business Analysts, SME's and end users to understand the requirements in order to
determine feasibility. Designs technical solutions that are in line with business needs while staying
consistent with application architecture.
• Navigate, understand, analyze and leverage existing complex data structures.
• Clarifies and resolves requirements questions.
• Coordinate with vendor to implement best practices and methodologies in mastering data
management and in designing physical data models.
• Follows technical guidelines and best practices to ensure a consistently high standard of quality.
Makes recommendations for next steps and long-term improvements.
• Investigate and troubleshoot data quality workflows or data quality issues or recurring technical
problems.
• Analyze large databases and recommend appropriate optimization for the same
• Resolves defects or deficiencies with completed development, updates documentation, and provides
training to support team members on completed development as necessary.
Your Merits: (these are must haves in terms of qualifications & experience & specific technical /professionals
skills that you want from the applicant)
• 8+ years of relevant experience in building and architecting data solutions.
• 3+ years of experience developing ETL process using SQL or tool like Talend, etc
• 2+ years of experience with Business Intelligence tools
• Expert in SQL and high-level languages such as Python or similar scripting language
• Experience with distributed data architectures and their eco-systems (Spark, EMR, Hadoop, Hive)
• Strong hands-on dimensional data modeling and data warehousing skills such as Microfocus Vertica
preferable
• Experience in delivering data using Streaming Technologies (Kafka, Kinesis, Spark Streaming, etc.)
• Experience with continuous integration technologies (Jenkins, GitLab)
• Worked with Cloud-based architecture such as AWS
• Practical experience establishing and utilizing data analytics standard methodologies.
• Excellent organizational skills and detail-oriented.
• Exceptional teammate who establishes positive working relationships.
• Good communication skills with the ability to express sophisticated concepts effectively
• Preferable telco industry experience
Tools We Use (Nice to Have)
• Talend
• Cloudera Data Hub – HBase, Impala, Kudu, Search, Spark, Spark Streaming, Hive on Spark, Cloudera
Manager, Cloudera Director, and Cloudera Navigator
• Data Anonymization - Microfcus Voltage with Talend through API calls.
• Data Management – Cloudera Hadoop, Microfocus Vertica & AWS S3
• Data Access & Reporting - Qlik Sense & Denodo
• Infrastructure – On Premise Redhat Virtualization and Cloud AWS
• OS – Linux and Window
Benefits
EPF, SOCSO, AL, MC, Medical Benefits