Senior Data Engineering Lead

4 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Ceermotors Full time

About Us

Ceer Motors is a dynamic and innovative company that is looking for a highly skilled Senior Data Engineering Lead to join our team.

The successful candidate will be responsible for providing technical leadership and expertise in data engineering and architecture to support the company's growth and success.

Key Responsibilities:

  • Data Engineering:
  1. Develop and implement data engineering solutions that meet the needs of the business.
  2. Design and implement data pipelines and architectures that ensure data consistency, integrity, and security.
  3. Collaborate with cross-functional teams to ensure data quality and compliance.
  4. Provide technical guidance and support to team members and stakeholders.

Requirements:

  • Bachelor's or master's degree in computer science, information technology, or a related field.
  • TOGAF certified in Enterprise Architecture is an advantage.
  • Certification in Azure cloud is an advantage.

Skills and Qualifications:

  • Proficiency in more than one ETL/ELT tools (Talend, Informatica, Apache NiFi, Google Big Query, Azure Data Factory).
  • Strong experience in CI/CD pipeline development and maintenance.
  • Expertise in data integration in some of these protocols (REST, SOAP, GraphQL, FTP, SFTP, FTPS, ODBC, JDBC, DB Link, IBM MQ, RabbitMQ, AMQP, JMS, Kafka, Apache Pulsar, Kinesis, GRPC, XML-RPC).
  • Skill & advanced knowledge in some of the virtualization technologies and platforms (ODBC/JDBC for Virtualization, Denodo).
  • Proficiency in scripting and programming languages (Python, Java, SQL).

Experience:

  • Minimum 15 years of experience as a Data Engineer in a large-scale enterprise environment.
  • 10-12 years in data engineering, with significant projects & transformation exposure & experience.
  • Extensive experience with Azure and Google Cloud Platform (GCP).
  • Proven track record in designing and implementing data analysis strategies and data management processes.
  • Experience with cloud platforms such as Azure, or GCP, including deploying cloud-based storage and analytics services.
  • Hands-on experience on Databricks, PowerBI.
  • Advanced knowledge of virtualization technologies and platforms (ODBC/JDBC for Virtualization, Denodo).
  • Familiarity with industry-specific data techniques and regulations, with relevant experience in sectors like B2B & B2C, CX of high traffic data or e-commerce.


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