Data Engineer
Description For Data Engineer
Envision Employment Solutions is seeking a Data Engineer to join their team, working with a partner company that's a global leader in the chemical industry. This role is crucial for designing, building, and maintaining data infrastructure and pipelines to support the company's data needs. The ideal candidate will have 5+ years of experience in data engineering, with expertise in Azure environments and strong SQL skills.
The role involves working with large datasets, optimizing data flow, and enabling data accessibility for analytics and business intelligence purposes. You'll be responsible for ensuring data reliability, security, and availability for driving informed decision-making. Key responsibilities include designing and maintaining data pipelines, implementing ETL processes, and ensuring data quality and governance.
The position requires a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Technical expertise in Azure services (Microsoft Fabric, Azure Data Factory, Azure Databricks, Azure Synapse Analytics) is essential. The ideal candidate should have strong programming skills in Python, Java, and SQL, along with experience in big data technologies.
This is an excellent opportunity for a seasoned data engineer looking to make an impact in a global chemical industry leader. The role offers the chance to work on complex data challenges while collaborating with cross-functional teams. The position is based in Cairo, Egypt, and requires both Arabic and English language proficiency.
If you're passionate about data engineering, have a strong technical background, and want to contribute to a company's data-driven decision-making processes, this role provides an excellent opportunity to advance your career while working with cutting-edge technologies and solving complex data challenges.
Responsibilities For Data Engineer
- Design, develop, and maintain data pipelines to support data integration and processing needs
- Ensure data quality, integrity, and security across all data systems
- Develop and implement ETL processes to ingest data from various sources
- Optimize data storage and retrieval for performance and scalability
- Collaborate with data scientists and analysts to provide data for analytics and reporting
- Implement and maintain data governance policies and best practices
- Monitor and troubleshoot data pipeline performance
- Support data-driven initiatives
- Develop and maintain documentation for data processes and systems
- Provide training and support to stakeholders on data systems
- Lead efforts to continuously improve data infrastructure and processes
- Collaborate with IT and business units to align data initiatives with organizational goals
Requirements For Data Engineer
- Bachelor's degree in computer science, Information Technology, Data Science, or related field
- 5+ years experience in data engineering
- Experience with Azure environment, Microsoft Fabric or Azure Data Factory, Azure Databricks or Azure Synapse Analytics
- Strong experience in SQL
- Experience in developing and implementing ETL processes
- Strong background in data architecture and big data technologies
- Knowledge of data governance and data quality management principles
- Excellent written and verbal Arabic and English language proficiency
- Experience with big data technologies (Hadoop, AWS, Azure)
- Proficiency in programming languages (Python, Java, SQL)
- Strong problem-solving and analytical skills
- Strong communication and interpersonal skills
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