Data Engineer
AmaliTech
- Ghana
- Permanent
- Full-time
- Develop, construct, and maintain scalable data pipelines and ETL processes.
- Assemble large, complex datasets that meet functional and non-functional business requirements.
- Collaborate with data architects, data scientists, and analysts to understand data requirements and optimize data workflows.
- Monitor and troubleshoot data systems using tools such as Grafana or AWS CloudWatch to ensure reliability, data quality, and availability.
- Implement data governance and security measures to protect sensitive data.
- Design and optimize data storage solutions, including data warehouses and data lakes.
- Automate and improve data processes and workflows for scalability and efficiency.
- Monitor data infrastructure for performance and reliability to address issues promptly.
- Keep abreast of industry trends and emerging technologies in data engineering.
- Document data pipelines, processes, and best practices for knowledge sharing.
- Optimize database performance for efficient data retrieval and storage.
- Minimum 3 years of experience as a Data Engineer or in a similar role.
- Proficiency with ETL tools, data integration platforms, and frameworks.
- Strong SQL skills and experience with both relational and NoSQL databases.
- Experience working with big data technologies like Apache Spark, Kafka, or Hadoop.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) for data engineering.
- Proficient in programming languages, particularly Python (preferred), as well as Java or Scala.
- Strong analytical and problem-solving skills, adept at understanding complex data needs and resolving quality issues to ensure data accuracy and reliability.
- Experience with workflow orchestration tools such as Apache Airflow or Luigi.
- Familiarity with data warehousing solutions (e.g., Redshift, Snowflake).
- Experience working in an Agile environment.
- Latest copy of CV (PDF format)
- Other related certificates (optional)
- Invitation to Interview(s)
- Job Offer
- Competitive salary commensurate with qualification and experience
- Pension benefits
- Bonuses and end-of-year package
- Medical insurance, with dependents
- Internet data allocation for remote work
- Employee bonding activities (bi-monthly happy hour, sporting activities)