Data Engineer: Scalable Data Solutions Specialist
hace 1 día
**Job Title:** Data Engineer: Scalable Data Solutions Specialist
**Location:** Kigali, Rwanda
**Salary Range:** RWF 3,500,000 - 5,000,000 per month (estimated based on industry standards)
Company Overview:
Codeconnect Staffing (Pty) Ltd is a leading staffing solutions provider with a focus on delivering top talent to businesses in Africa. We are committed to helping our clients achieve their goals by providing expert recruitment services and HR solutions.
Job Description:
We are seeking an experienced Data Engineer: Scalable Data Solutions Specialist to join our team in Kigali, Rwanda. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to enable data-driven applications and analytics solutions.
This role requires expertise in developing robust data architectures, optimizing data workflows, and contributing to the strategic advancement of data initiatives. Collaboration with cross-functional teams is integral to this role.
Key Responsibilities:
- 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.
- Data Governance: Ensure data quality, governance, and security compliance.
- Performance Monitoring: Monitor, troubleshoot, and optimize data pipelines.
- DevOps Practices: Develop and maintain CI/CD pipelines and manage code in version control systems.
Qualifications and Skills:
To be successful in this role, you will need:
- 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).
This role provides an opportunity to work on cutting-edge data engineering projects, leveraging advanced technologies to drive impactful solutions.
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