Description
- Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
- Gather requirements from stakeholders and translate them into technical specifications.
- Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
- Maintain and optimize data systems to ensure high availability and performance.
- Work with other engineering teams to integrate data engineering solutions with other systems.
- Stay up to date on the latest data engineering technologies and trends.
Requirements
- A bachelor Degree in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines from a reputable university.
- 6 - 10 years of relevant experience as a Data Engineer or relevant roles.
- Cloud computing platforms: AWS/Azure/GCP
- Programming languages: Python/Java/Scala & Unix Shell scripting
- Data warehouse technologies: Redshift/Snowflake/Big Query
- Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
- Orchestration: Airflow/Control-M/(Any Orchestration tool)
- Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
- Drive, tenacity, client focused and results oriented.
- Excellent communication and presentation skills.
- Excellent command of written and spoken English.
| Created on | 29 Oct 2023 |
| Last updated on | 29 Oct 2023 |
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