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- Assist with the design, develop, and maintenance of our data pipelines and data warehouses across cloud (Microsoft Azure) and on-premise environments.
- Collaborate with the data engineering team to improve the performance and scalability of our data infrastructure and ensure data quality and integrity across the data platform.
- Create and maintain documentation for data pipelines and data architecture.
- Create and optimize interactive dashboards to visualize business metrics.
- Conduct research and provide recommendations on new technologies and tools that can be used to improve the data infrastructure.
- Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Data Science or a related field (specialization in Software Engineering is a plus).
- Knowledge of data warehousing and familiarity with big data platforms, cloud technologies.
- Proficiency in Python programming, SQL and PowerBI.
- Experience with ETL tools, data pipelines, and data warehousing.
- Strong data analysis, data verification and problem-solving abilities.
- Analytical, meticulous, and team player.
- Effective communication skills for collaboration across teams.
- Self-motivated and possess initiative to learn new skills and technologies.
- Experience with Microsoft Azure PaaS services (a plus)
- Familiarity with big data technologies (e.g., Hadoop, Hive, Spark) and Databricks platform (a plus).
Applications close: 31 Dec 2025
- Assist with the design, develop, and maintenance of our data pipelines and data warehouses across cloud (Microsoft Azure) and on-premise environments.
- Collaborate with the data engineering team to improve the performance and scalability of our data infrastructure and ensure data quality and integrity across the data platform.
- Create and maintain documentation for data pipelines and data architecture.
- Create and optimize interactive dashboards to visualize business metrics.
- Conduct research and provide recommendations on new technologies and tools that can be used to improve the data infrastructure.
- Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Data Science or a related field (specialization in Software Engineering is a plus).
- Knowledge of data warehousing and familiarity with big data platforms, cloud technologies.
- Proficiency in Python programming, SQL and PowerBI.
- Experience with ETL tools, data pipelines, and data warehousing.
- Strong data analysis, data verification and problem-solving abilities.
- Analytical, meticulous, and team player.
- Effective communication skills for collaboration across teams.
- Self-motivated and possess initiative to learn new skills and technologies.
- Experience with Microsoft Azure PaaS services (a plus)
- Familiarity with big data technologies (e.g., Hadoop, Hive, Spark) and Databricks platform (a plus).
Applications close: 31 Dec 2025