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Description:
- Paystack is seeking a Data Engineer to build and extend platforms for managing data at scale, focusing on data ingestion, processing, storage, and egress.
- The role involves developing data pipelines, managing real-time data streaming, and maintaining infrastructure in a remote-first environment.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 3 years of experience in data engineering and 2 years in software/application development.
- Proficiency in Python; knowledge of JavaScript and Scala is a plus.
- Hands-on experience with Kafka, Debezium, and Kafka Connect.
- Familiarity with data pipeline orchestration tools like Apache Airflow.
- Strong understanding of database technologies (MySQL, PostgreSQL, MongoDB, Redshift).
- Experience with Terraform, Kubernetes, and Helm for infrastructure management.
- Solid knowledge of cloud computing concepts, preferably AWS.
- Ability to write complex SQL queries and familiarity with testing practices.
- Exposure to BI reporting platforms like Tableau or Looker is advantageous.
Benefits:
- Opportunity to work with a diverse tech stack and learn new skills.
- Collaborative and respectful work environment that values transparency and communication.
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3 years
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