| Job Location | United Arab Emirates |
| Education | Engineering Graduates/PG |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
KEY RESPONSIBILITYSupport the Director in building and maintaining robust data architecture and solutionsDesign, construct, install, and maintain large-scale processing systems and data pipelinesExtract, transform, and load (ETL) data from a wide variety of sourcesImplement data governance and data quality best practicesAssist in optimizing query performance and monitoring system healthCollaborate with data scientists, analysts, and business teams for data enablementDocument data processes and system designs for transparency and scalabilityTECHNICAL COMPETENCIESStrong proficiency in SQL and data modelingExperience with ETL tools (e.g., Talend, Informatica, Apache NiFi)Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)Proficiency in Python/Scala for data engineering tasksUnderstanding of CI/CD practices in data workflowsFamiliarity with orchestration tools (e.g., Airflow, Prefect)QUALIFICATIONS, EXPERIENCE AND SKILLSQualification: Bachelor’s degree in Computer Science, Information Systems, or a related fieldDesirable Qualification: Master’s in Data Engineering, Computer Science, or related disciplineWork Experience: 3–5 years of hands-on experience in data engineering or data infrastructure rolesTechnical Skills:Strong proficiency in SQL and data modelingExperience with ETL tools (e.g., Talend, Informatica, Apache NiFi)Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)Proficiency in Python/Scala for data engineering tasksUnderstanding of CI/CD practices in data workflowsFamiliarity with orchestration tools (e.g., Airflow, Prefect)
Keyskills :
SQL and data modeling ETL tools cloud platforms data warehousing
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