Senior Data Engineer

4 weeks ago

Riyadh, Saudi Arabia Nice One Full time

**Senior Data Engineer**

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a pivotal role in designing, developing, and maintaining our data infrastructure, ensuring the smooth and efficient flow of data across various systems. Your expertise in data pipelines, ETL and ELT, and data warehousing will be vital to the success of our data-driven initiatives. Ideally, you possess extensive hands-on experience with Redshift, RDBMs, AWS DMS, AWS Glue, Apache Airflow, and Snowflake.

**Responsibilities**:

- Data Warehousing: Design and maintain data warehousing solutions, ensuring data integrity, scalability, and performance.
- ETL Processes: Develop robust ETL processes to handle large-scale data ingestion, transformation, and integration from heterogeneous data sources.
- Data Pipeline Development: Design, build, and optimize end-to-end data pipelines that extract data from various sources, transform it into a structured format, and load it into data warehousing systems.
- Cloud Technologies: Leverage your expertise in AWS cloud services, particularly Redshift, RDS Aurora, AWS DMS, AWS Glue, and other related services, to build and optimize data engineering solutions.
- Monitoring and Troubleshooting: Implement monitoring and alerting mechanisms to proactively identify and address data pipeline issues. Conduct root cause analysis and provide timely resolutions.
- Documentation: Create comprehensive technical documentation for data pipelines, ETL processes, and data warehousing solutions to facilitate knowledge sharing and future development.
- Continuous Improvement: Stay abreast of industry best practices, emerging technologies, and trends in data engineering. Suggest and implement improvements to existing processes and technologies.

**Qualifications**:

- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree is a plus.
- Proven experience (at least 5 years) as a Data Engineer, with a focus on designing and implementing data pipelines, ETL processes, and data warehousing solutions.
- Extensive hands-on experience with cloud-based data technologies, especially AWS services such as Redshift, RDS Aurora, AWS DMS, AWS Glue, and Apache Airflow.
- Familiarity with Snowflake data warehousing is a significant advantage.
- Proficient in SQL and other programming languages used in data engineering (e.g., Python,C#).
- Strong understanding of data modeling concepts and best practices.
- Ability to work effectively in a fast-paced, collaborative environment and handle multiple projects simultaneously.
- Excellent problem-solving skills and a keen eye for detail.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.

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