Senior Data Warehouse Engineer II

Careem is building the Everything App for the greater Middle East, aiming to simplify and improve the lives of people. We are seeking a highly skilled and motivated Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure. Your work will ensure the availability, scalability, and reliability of our data systems, collaborating closely with cross-functional teams to support data-driven decision-making.

What You'll Do

• Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
• Collaborate with stakeholders to understand their data requirements and design appropriate data models and database schemas.
• Optimize data pipelines and ETL processes for performance and efficiency to ensure timely and accurate data delivery.
• Monitor and resolve issues related to data quality, consistency, and integrity.
• Define, implement, and manage data quality processes and strategies for high-quality data delivery.
• Collaborate with data scientists to provide necessary data infrastructure and tools for advanced analytics.
• Stay updated with the latest trends and technologies in data engineering, recommending innovative solutions.
• Document data engineering processes and system architectures for knowledge sharing.
• Work closely with software engineers to optimize data infrastructure and ensure seamless integration.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of relevant experience as a Data Engineer or a similar role.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in frameworks like Apache Spark.
• Experience with SQL and database technologies.
• Proficiency in big data technologies such as Hadoop, Hive, and cloud computing platforms.
• Familiarity with data integration and workflow management tools such as Apache Airflow.
• Knowledge of data warehousing concepts and solutions.
• Strong analytical and problem-solving skills, with effective communication abilities.

Work Conditions

• Work 4 days a week in the office & 1 day from home, with the option to work remotely from any country for 30 days a year.
• Unlimited vacation days per year.
• Access to healthcare benefits and fitness reimbursements for health activities.