Data Engineer Job Description
A Data Engineer is a data professional who uses their data engineering and programming knowledge in order to develop systems that acquire, manage, and convert raw data into information that business analysts can utilize.
Use this Data Engineer job description to attract the most qualified candidates to your open positions. Thus, feel free to modify the responsibilities and requirements to suit your needs.
What is a Data Engineer?
Data Engineers construct and also administer data systems. They create data sets that are simple in order to analyze and support business needs.
What does a Data Engineer do?
Data Engineers implement methods to enhance the accuracy and quality of data. They incorporate unprocessed data from various sources into consistent, machine-readable formats. In addition, they design and evaluate architectures that facilitate data extraction and transformation for predictive or prescriptive modeling.
Data Engineer roles and responsibilities include:
- Processing raw data.
- Creating and preserving datasets.
- Enhancing data integrity and productivity.
However, these responsibilities may vary dependent on the needs of the organization. When creating your job description for a Data Engineer, tailor it accordingly.
Job Brief
We are seeking a Data Engineer with extensive experience to join our team. You will use various techniques to convert unprocessed data into valuable data systems. For instance, you will develop algorithms and conduct statistical analysis. You will endeavor for overall efficiency by aligning data systems with business objectives.
To be successful in this data engineering position, you must possess strong analytic skills and also the ability to combine data from various sources. In addition, you must be an expert with multiple programming languages and machine learning techniques.
Don’t hesitate to contact us if you are detail-oriented, possess exceptional organizational skills, and also have experience in this discipline.
Responsibilities
- Analyze and arrange unprocessed data.
- Construct data systems and conduits.
- Evaluate business requirements and goals.
- Analyse tendencies and patterns.
- Conduct sophisticated data analysis and report findings.
- Prepare data for diagnostic and prognostic modeling.
- Create algorithmic code and prototypes.
- Combine information extracted from various sources.
- Explore methods for improving data quality and dependability.
- Identify data acquisition opportunities.
- Create analytical instruments and applications.
- Collaborate on multiple initiatives with data scientists and architects.
Requirements and Skills
- Experience as a Data Engineer or in a comparable position is required.
- Knowledge of data models, data mining, and segmentation techniques.
- Programming language expertise (e.g., Java and Python).
- Practical knowledge of SQL database design.
- Excellent numerical and analytic abilities.
- A Master’s degree in Computer Science, IT, or a related field is preferred.
- Certification in data engineering (such as IBM Certified Data Engineer) is an advantage.
Salary Range
The average monthly salary for Data Engineer jobs in Malaysia ranges from RM 6,250 to RM 8,750.
So, post this Data Engineer job description ads through Jobstore.com today!
Anisa is a writer who focuses on career and lifestyle topics in an effort to motivate both job searchers and employers towards greater fulfillment in their professional lives.
Reach me at anisa@jobstore.com.