Data Engineer – ETL Job Circular
Data Engineer – ETL Job Circular has recently been published. According to the job circular, they will recruit Data Engineer – ETL in their organization. In this article, we have covered everything about the Data Engineer – ETL job circular.
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Data Engineer – ETL Job Details
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About the post of Data Engineer – ETL
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Educational Qualifications and Experiences
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Salary Range
The salary range is specified by post name and other factors like company policy. For this post the salary range is 10000 to 12000 MYR.
Data Engineer – ETL Job Details
For your help, we have divided the job circular in some of the criteria. The first section is decorated with company details and the last section is with the job details.
Organization Details
Here is the details overview of the hiring organization. We have collected it from Careerjet. Check the table below.
| Organization Name | |
|---|---|
| Organization Address | Kuala Lumpur |
| Circular Published Date | 12/10/2024 |
| Last Date of Application | Not mentioned in the Source |
Job Details
Here are the job details of the Data Engineer – ETL Job Circular. Here we have included the vacancy, salary range, job location, and other informations related the this job.
| Job Title | Data Engineer – ETL |
|---|---|
| Job Type | Full time |
| Job Category | Described in the Job Description below |
| No. of Vacancy | Mentioned in the Job Description below |
| Salary Range (MYR) | 10000 to 12000 |
| Expected Salary (MYR) | 10000 – 12000 per month |
| Job Location | Kuala Lumpur |
| Age Limit for job | Not mentioned but follow the Job Description below , maybe you can find something about Age Limitations |
| Gender | Not mentioned but follow the Job Description below , maybe you can find something about gender |
| Application Fee | Online Application |
The mighty Job Description of Data Engineer – ETL Job Circular
We are seeking an experienced Data Engineer – ETL to join our dynamic team in Kuala Lumpur. This role is essential in supporting data analytics operations and projects within a manufacturing environment. Key Responsibilities: ETL Solutions Development: Deliver reporting ETL (extract-transfer-load) solutions using data from Manufacturing, Enterprise, and other source systems/applications in Hadoop and cloud environments. Automation and Data Integration: Build and automate necessary data feeds (ETL/ELT) for data transfer from various source applications to target applications, focusing on administration, optimization of performance, and monitoring. Production Support: Troubleshoot existing production portfolios and provide effective fixes and solutions. SDLC Participation: Engage in all aspects of the software product development life cycle (SDLC), including requirement gathering, workflow architecture design, development, testing, documentation, and leading User Acceptance Testing (UAT). Collaboration: Work collaboratively with DBAs, infrastructure teams, network, data enablement teams, and application BA analysts to improve data governance, methodologies, and processes. Data Analytics Passion: Demonstrate a strong interest in data mining, scripting, problem-solving, and data analysis while exploring new technologies in the data analytics field. Knowledge Sharing: Share theoretical and practical knowledge with team members. Qualifications: Education: Undergraduate or Master’s degree in Computer Science, Information Technology, Engineering, or related courses. Experience: Minimum 5 years of IT working experience, particularly in Business Intelligence or Data Analytics roles. ETL Expertise: Strong experience in data integration (ETL), mining, and analytics with complex, high-volume, high-dimensionality data. Proficient in creating ETL scripts. Development Experience: Familiarity with Data Lake solutions such as Data Bricks, Azure DataLake, AWS, Snowflake, and Cloudera. Experience in Hadoop environments using ETL framework components (e.g., Nifi, Kafka, Pentaho, Spark). Cloud Development: Experience in cloud environments is preferred. Relevant certifications (HCIA/HCIP/HCIE in cloud computing, AWS, Azure, GCP) are a plus. Familiarity with AWS services (S3, Lambda, EMR, EC2) is advantageous. SQL Proficiency: Strong SQL skills are a must, with experience in databases such as MSSQL Server, Teradata, or Oracle. BI Tools Exposure: Experience with Business Intelligence tools (e.g., Tableau, Power Query, Power BI) is highly recommended. Manufacturing Background: Experience in the manufacturing sector is a plus but not essential. Additional Skills: Knowledge of programming languages such as PHP, Python, Java, or JavaScript is an added advantage. Strong visualization capabilities and a passion for quantitative analysis (statistics, math, modeling). Communication Skills: Excellent written and verbal communication skills in English, essential for collaboration with multiple organizations within the company. Analytical Mindset: Result-oriented with strong analytical, troubleshooting, and problem-solving skills, able to work with minimal supervision. Agile Knowledge: Familiarity with Project Management and Safe Agile processes is an added advantage. Virtual Team Experience: Experience working in a virtual team environment is a plus. If you are a motivated Data Engineer looking to elevate your career, we would love to hear from you!
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HashTags: #Data #Engineer #ETL
