Data Engineer

The Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and data warehousing solutions for PEIMA.

• Implement and manage ETL frameworks and data warehousing solutions.
• Work with big data technologies like Hadoop and Spark.
• Develop and maintain database architecture and data models.
• Apply DevOps pipelines and CI/CD practices for data workflows.
• Integrate APIs and manage real-time data streaming.

Applicants for Data Engineer must hold a Master's degree (16 years of education) in a relevant field with at least five years of verifiable experience.

• Education: Master's degree (16 years qualification) in Computer Science, Software Engineering, Data Sciences, or Information Technology or a related field from HEC recognized national or foreign University.
• Experience: At least five (05) years of verifiable relevant post-qualification experience in public/private sectors.
• Skills: Proficiency in SQL, Python, and ETL frameworks (e.g., Apache Airflow, SSIS, or Azure Data Factory). Experience with data warehousing solutions (e.g., Snowflake, Redshift, Big Query, or Azure Synapse). Familiarity with cloud platforms (Azure, AWS, or GCP). Strong understanding of database architecture and data modeling techniques. Excellent problem-solving and debugging skills. Experience with big data technologies (Hadoop, Spark). Knowledge of DevOps pipelines and CI/CD practices for data workflows. Familiarity with API integration and real-time data streaming (Kafka, Event Hubs).