
Data Engineer - Azure (NCS/Job/ 2100)
Job Skills
Job Description
Job Description – Data Engineer
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Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, Business Informatics, Engineering, Physics or a related field.
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Proven experience with Azure Data Factory, Oracle Autonomous Database, Oracle Database, and PostgreSQL.
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Must have experience with Oracle Autonomous Database or Oracle Database and strong Oracle SQL.
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Strong expertise in SQL and PL/SQL scripting.
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Hands-on experience in performance tuning, monitoring, and troubleshooting Oracle databases.
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Proficient in designing and implementing cloud-based data solutions.
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Strong analytical and problem-solving skills with a proactive mindset.
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Excellent communication and documentation skills.
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Proactive, self-motivated and able to work in a very dynamic environment.
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Good spoken and written communication skills in English.
What will you do?
The holder of the position is mainly responsible for the following areas in coordination with his/her superior:
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Lead and manage the end-to-end ETL/ELT process for data migration from Azure PostgreSQL to Oracle Autonomous Database.
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Own and maintain data patching processes and ensure ETL pipelines are updated accordingly.
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Understand the database structure of the internal ERP system hosted in Azure PostgreSQL to support accurate data extraction and transformation.
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Design, build, and optimize data pipelines using Azure Data Factory and Azure Data Lake storage.
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Ensure data integrity, quality, and security throughout the migration and transformation lifecycle.
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Monitor, troubleshoot, and tune performance of Oracle Autonomous Database to ensure optimal efficiency.
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Collaborate with application developers and IT teams to implement scalable and secure database solutions.
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Document and maintain detailed data engineering processes, standards, and best practices.
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Demonstrate a willingness to learn and adapt to new technologies and business requirements.
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Ensure SLA for 2nd & 3rd level support for business is managed.