Data Engineer

at  Travellab Africa Group

Our Travelstart team is looking for a talented Data Engineer to join us. This role will focus on developing and maintaining robust data infrastructure on the Google Cloud Platform (GCP) to support data-driven decision-making. This individual will be responsible for designing, implementing, and managing data pipelines, optimizing data performance, and ensuring data integrity.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or 10+ years of relevant experience in data engineering or a related field.
• Proficiency in at least one programming language, with a preference for Python and Java.
• Experience with cloud platforms, particularly Google Cloud Platform (GCP).
• Strong expertise in data pipeline tools such as Apache Beam, Apache Spark, etc.
• Proven experience with BigQuery and traditional SQL databases.
• Demonstrated experience in designing and managing data warehouses.
• Advanced SQL skills, including the ability to write and optimize complex queries.
• Familiarity with data visualization tools such as Tableau, Qlik, Looker Studio, etc.
• Excellent problem-solving skills and the ability to troubleshoot data issues effectively.
• Strong communication skills, with the ability to collaborate with cross-functional teams.

• Data Infrastructure Development: Develop and maintain scalable data infrastructure on GCP, including data lakes, data warehouses, and data pipelines.
• Performance Optimization: Tune and optimize the performance of analytical systems to ensure efficient data processing and analysis.
• Data Pipeline Development: Design, implement, and manage data pipelines to extract, transform, and load data from various sources into target systems.
• Database Management: Oversee analytical databases on BigQuery, ensuring data integrity, performance, and security.
• Data Solution Design: Design and implement scalable data solutions to meet the evolving needs of various stakeholders.
• Data Integration: Integrate and manage data provided by third-party vendors and partners.
• Data Quality: Troubleshoot and resolve data-related issues to improve data quality and accuracy.
• Data Requests: Respond to internal and external data requests efficiently and accurately.
• Data Analysis: Develop complex SQL queries for data analysis, reporting, and troubleshooting.
• Data Visualization: Build and maintain visualized reports using advanced data visualization tools.