Data Engineer Job Vacancy in Kuwait Alghanim, iiQ8 Jobs
Location: KW – Company: Alghanim Industries
Job Summary:
The Data Engineer will be primarily responsible for the data integration (ETL) between our operational data sources and central data-lake and creating specific data-marts according to data analytics team’s needs.
Job Responsibilities:
Management of data inflow
- Create and maintain optimal data pipeline architecture; adopt new technologies to improve existing frameworks of data flow and monitoring
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies; take necessary steps to implement necessary changes in the IT infrastructure such as MDM tool acquisition, data lake design, cloud solutions implementation in coordination with IT and technology coordinator
- Create data tools for analytics and data science team members that assist them in building models by automating and simplifying data preparation
- Translate customer data strategy into actionable data integration plans and execute these plans
- Maintain 360 degree view of customer, enhance the customer datamarts by continuously integrating new sources of data
Data cleansing and unification
- Create automated data anomaly detection systems and constant tracking of its performance
- Process, cleanse, and verify integrity of data used for analysis; active use of built-in data quality dashboard on CDP and coordination of corrective actions
- Develop algorithms to de-duplicate and export customer data from multiple BUs to ensure data unification
- Ensure continuous unification of customer records and associated profile and transactional data
Candidate Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or related field
- Understanding of data modeling principles
- 5+ years of significant configuration and data management experience; comfortable handling and manipulating data, with demonstrated experience in a data-intensive setting
- Professional working experience on ETL Process for customer and transactional data
- Professional project expertise preferably on Talend, Matillion or any equivalent ETL Tools
- Expert level knowledge of RDBMS Scripting Language (MS SQL, Oracle, Postgres, etc..)
- Experience working in a cloud environment preferably AWS
- Experience identifying data anomalies or imperfections
- Experience of data structures and schemas, data preparation, cleansing and unification
- Possess the ability to train others – pass on knowledge within the organization
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