Lead Data Engineer
Lead Data Engineer
Posted on :
09-11-2024
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1 Vacancy
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Job Description
We are looking to hire a Lead Data Engineer for one of our clients.
Qualifications
- BSc in Information management Data Analytics Computer Science or related field.
- MSc in Data Analytics Data Science or related fields will be an advantage.
- 5 years of experience in data engineering with a focus on building and managing data pipelines infrastructure and dashboards.
- Solid understanding of ETL processes data modelling and data integration techniques.
- Extensive experience with Azure Synapse Azure Data Factory (ADF) Azure Databricks and Power BI Dataflows with a proven ability to architect solutions in these technologies.
- Solid experience in cloud platforms (e.g. AWS Azure) and containerisation (e.g. Docker Kubernetes).
- Good understanding of database technologies including RDBMS DW/DL Cloud NoSQL and ELT/ETL with Data Warehouse solutions
- Ability to work with multiple projects simultaneously.
- Fluent English spoken and written
- Strong presentation skills as well as a businessbuilding mindset would be key advantages
Responsibilities
- Lead the data engineering team in the design development and maintenance of data pipelines ETL processes and data integration solutions.
- Architect implement test deploy and maintain stable secure and scalable data engineering solutions and pipelines to support various data projects and initiatives utilizing Azure Data Fabric Azure Data Factory (ADF) Azure Databricks and Power BI Dataflows.
- Ensure high standards of data quality integrity and security through robust data governance practices.
- Collaborate with crossfunctional teams to understand data requirements and deliver solutions that meet business needs.
- Mentor and guide other junior engineers in the team on industry standards/ tools/ best practices in data engineering
- Stay updated with the latest trends and technologies in data engineering and make recommendations for improvements.
- Own Data Analytics and Insights Scrum teams and be responsible for the quality timely deliveries.
- Revisit the process and practices periodically to make necessary improvements to improve quality and efficiencies based on data/metrics.
If you are interested please submit your CV to or apply below.
Employment Type
Full Time
Key Skills
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