Job ID 19404
Experience Less Than 1 Year
Qualifications Bachelor’s Degree
As a Data Engineer at Careem, you will be responsible for designing, developing, and maintaining our data infrastructure. You will work closely with cross-functional teams to ensure the availability, scalability, and reliability of our data systems. You will also collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
- 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 and implement appropriate data models and database schemas to support their needs.
- Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
- Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
- Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
- Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
- Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
- Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
- Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
- Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
- Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
- Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
- Familiarity with data integration and workflow management tools such as Apache Airflow.
- Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
- Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Attention to detail and a strong commitment to delivering high-quality work within established timelines.
- Work and learn from great minds by joining a community of inspiring colleagues.
- Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.
- Explore new opportunities to learn and grow every day.
- Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
- Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.