Saudi Arabia Job Openings
Talent Pal
Data Engineering Expert - Giza Systems EG
Riyadh
August 30, 2024
Job Description
- Design, develop, and optimize data pipelines and workflows for ETL processes.
- Collaborate with data scientists and analysts to ensure data availability and quality.
- Implement and maintain scalable data architectures and infrastructure.
- Ensure data security, compliance, and governance practices are followed.
- Troubleshoot and resolve data-related issues and discrepancies.
- Utilize SQL, Python, and other tools for data manipulation and analysis.
- Work with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
- Monitor and improve data pipeline performance and reliability.
- Develop and maintain documentation for data engineering processes and systems.
- Stay updated with the latest industry trends and technologies in data engineering.
Personal Skills
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.
Technical Skills
- Proficiency in SQL and Database Management: Strong skills in writing complex queries, optimizing database performance, and managing large-scale databases.
- Programming Languages: Expertise in Python, Java, Scala, or other relevant programming languages.
- ETL Tools and Processes: Experience with ETL tools like Apache Ni Fi, Talend, or Informatica.
- Big Data Technologies: Knowledge of Hadoop, Spark, Kafka, and other big data frameworks.
- Cloud Platforms: Proficiency in AWS, Azure, GCP, and related cloud services for data storage, processing, and management.
- Data Modeling: Ability to design and implement efficient data models for various business needs.
- Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google Big Query, or Snowflake.
- Data Governance and Security: Understanding of data governance frameworks, data privacy regulations, and security best practices.
- Problem-Solving: Strong analytical and troubleshooting skills to identify and resolve data issues.
- Collaboration and Communication: Excellent communication skills to work effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.
Job Details
Preferred Candidate
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