Chief Data Architect

2 days ago

Karachi, Sindh, Pakistan beBeeDataEngineer Full time 1,500,000 - 2,500,000
Job Description

Careem is developing an innovative data infrastructure to support its business operations. The company aims to simplify and improve the lives of people in the greater Middle East by creating a seamless experience for customers, Captains, and employees alike.

About the role:
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, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.

Main Responsibilities:

  • 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.
Required Skills and Qualifications

To be successful in this role, you should have:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 6 years of 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.
Benefits

We offer our colleagues a range of benefits, including:

  • Opportunities to learn and grow every day.
  • A dynamic work environment that encourages innovation and collaboration.
  • Access to healthcare benefits and fitness reimbursements for health activities.
  • Flexible work arrangements, including the option to work from home or remotely.

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