SWATX is seeking a skilled and experienced Data Engineer with minimum 3 years of experience to join our team. In this role, you will be responsible for building and maintaining our data infrastructure and architecture, ensuring the availability, reliability, and scalability of our data solutions. You will work closely with cross-functional teams to design and implement data pipelines, develop data models, and optimize data storage and retrieval processes. If you have a strong background in data engineering and a passion for transforming raw data into valuable insights, we would love to hear from you.
Responsibilities:
Design, develop, and maintain scalable data pipelines and architectures.
Collect, process, and analyze large datasets from various sources to support business intelligence and analytics.
Implement data integration solutions to ensure seamless data flow between systems and databases.
Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
Ensure data quality and integrity by performing regular data cleansing and validation.
Optimize and tune database performance to handle large volumes of data efficiently.
Develop and enforce data security and privacy policies to protect sensitive information.
Monitor and troubleshoot data pipelines, addressing any issues or bottlenecks that arise.
Create and maintain comprehensive documentation of data processes, pipelines, and architectures.
Stay updated with emerging technologies and industry best practices in data
Requirements
Bachelor's degree in computer science, Information Technology, or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong proficiency in SQL and experience with relational databases (e.g., MSSQL, Oracle, MySQL, PostgreSQL).
Experience with BI technologies (e.g. Microsoft Power BI, Oracle BI, or similar).
Preferable experience with big data technologies (e.g., Hadoop, Spark, Kafka).
Proficiency in machine learning programming languages such as Python, R.
Experience with Enterprise Data warehouse and Data Lake.
Experience with ETL tools and processes (e.g. SSIS, ODI, Talend).
Knowledge of data modeling, data architecture, and data governance principles.
Strong problem-solving skills and attention to detail.
Excellent communication skills, both verbal and written, in English and Arabic
Preferable Certificates:
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Power BI Associate
Cloudera Certified Professional (CCP): Data Engineer
Certified Data Management Professional (CDMP)
