Data Engineering Innovator

hace 2 días


Madrid, Madrid, España Codeconnect Staffing (Pty) Ltd A tiempo completo
Remote Data Engineer Job in Kigali, Rwanda

Estimated Salary: RWF 1,500,000 - RWF 2,500,000 per annum (depending on experience)

About the Role:

We are seeking a highly skilled Data Engineer to join our team at Codeconnect Staffing (Pty) Ltd. The successful candidate will play a critical role in designing, developing, and maintaining scalable data pipelines and infrastructure to enable data-driven applications and analytics solutions.

Job Description:
  • Data Pipeline Development: Design, implement, and maintain scalable data pipelines using tools like Databricks, Python, and PySpark.
  • Data Architecture: Build scalable and efficient data solutions leveraging modern data architectures.
  • Data Modelling: Optimize data models and schemas for structured and unstructured data storage and analysis.
  • ETL Development: Develop, automate, and optimize ETL workflows.
  • Big Data Technologies: Utilize technologies such as Spark, Kafka, and Flink for distributed data processing.
  • Cloud Platforms: Deploy and manage data solutions on platforms like AWS, Azure, or Google Cloud.
Required Skills and Qualifications:
  • Programming: Proficiency in Python or Java, and SQL.
  • Data Modelling: Experience with creating and optimizing data models.
  • Big Data Tools: Familiarity with tools like Databricks, Spark, Kafka, and Flink.
  • Modern Architectures: Knowledge of lakehouse architectures.
  • Data Integration: Experience with data ingestion from diverse sources (e.g., REST APIs, SQL, MongoDB, SFTP).
  • CI/CD and Version Control: Expertise in building CI/CD pipelines and working with Git and containerization tools like Docker.
  • ETL Tools: Hands-on experience with tools such as Apache Airflow, Informatica, DBT, or Talend.
  • Governance: Deep understanding of data governance best practices.
  • Real-Time Data: Familiarity with real-time streaming technologies like Apache Spark Streaming and Kafka.
  • Cloud Tools: Proficiency with cloud data tools, including AWS, Azure, or GCP (e.g., S3, EMR, Redshift, Glue, Azure Data Factory, BigQuery, Dataflow).
Benefits:
  • A competitive salary package.
  • The opportunity to work on cutting-edge data engineering projects.
  • A chance to collaborate with cross-functional teams.

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