Data Engineer

Talent Safari

Data Engineer at Paystack focusing on building and maintaining data pipelines and infrastructure. Collaborate with cross-functional teams on data ingestion, processing, and management.

Posted 5/12/2026full-timeRemote • 🇳🇬 NigeriaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheCloudETLJavaScriptKafkaKubernetesMongoDBMySQLPostgresPythonScalaSQLTableauTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain robust data pipelines using ETL and ELT methodologies.
Implement and manage real-time data streaming solutions utilizing Kafka, Debezium, and Kafka Connect.
Build, schedule, and maintain custom workflows using Apache Airflow.
Work with a variety of database technologies, including MySQL, PostgreSQL, MongoDB, and analytical/big data systems.
Employ tools like Terraform, Kubernetes, and Helm to manage infrastructure efficiently.
Develop and maintain continuous integration and deployment pipelines.
Conduct unit and integration testing for high code quality, data integrity, and system reliability.
Engage with cross-functional teams to understand data needs and deliver solutions.
Maintain clear and comprehensive documentation of data processes, workflows, and systems.
Monitor system performance and address faults in production systems.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related field.
Proficiency in Python is essential.
Knowledge of JavaScript and Scala is advantageous.
Minimum of 3 years of experience in data engineering roles.
Minimum of 2 years of experience in software and/or application development roles.
Hands-on experience with Kafka, Debezium, and Kafka Connect.
Proficiency in a data pipeline orchestration tool like Apache Airflow (preferred).
Strong understanding and hands-on experience with MySQL, PostgreSQL, MongoDB, and Redshift.
Experience with Terraform, Kubernetes, and Helm.
Solid knowledge of cloud computing concepts.
Ability to write complex SQL queries.
Familiarity with unit and integration testing methodologies.
Experience in setting up and maintaining CI/CD pipelines.
Exposure to self-service reporting tools like Tableau, Looker, and DOMO.

Benefits

Comp & perks

Competitive salary
Flexible working hours
Professional development budget

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTPythonJavaScriptScalaSQLunit testingintegration testingdata pipeline orchestrationdata engineering

Soft Skills

cross-functional collaborationcommunicationdocumentationproblem-solving

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering