Data Engineer Lead
6 months ago
**Summary**
**Responsibilities**
- Partner with various teams to define, transform process and make data actionable for operational and analytic initiatives that create sustainable scalable implementations.
- Design & build data pipeline that generates efficient insight data from multiple sources to create reports & dashboards to meet key business objectives & provide end-to-end data solutions with different tools such as AWS.
- Execute unit tests and validate scripts & database design to ensure accuracy of data, clear documentation and problem resolution to ensure high quality of data safeguard.
- Develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- Evaluate and provide feedback on future technologies and new releases/upgrades to ensure that our data infrastructure is reliable and efficient.
- Supervise data engineering team to provide robust data/analytics platforms to the entire organization.
**Qualifications & Work Experience**
- 5 to 7 years of relevant experience in a relevant position
- Bachelor’s degree in computer science, computer software, information technology, or any relevant discipline
- Familiarity with AWS (AWS Redshift, AWS Glue, AWS S3, AWS kinesis and Data Lake) is a necessity
- Background in data warehouse design (e.g., dimensional modeling) and data mining
- Experience with reporting tools like Tableau, AWS Quick Sight, Looker, and Power BI is a necessity
- Good knowledge of programming languages.
**Behavioural Competencies**
- Excellent communicator
- Excellent organizational skills
- Leadership skills
- Multitasker
- Planning and organizing skills
- Excellent time and stress management skills
- Leadership skills
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