Lead Data Engineer
Singapore, Singapore
Job Description
Job Summary
- Singapore
- Permanent
- BBBH826056
- Aug 26, 2022
- Competitive
Data Engineering opportunity to join the Financial Services industry as a Senior/Lead Data Engineer. Designing and Developing complex Data pipelines.
Responsilibilities
- Partner with teammates to create complex data processing pipelines in order to solve complex challenges
- Follow best practices for Data Architecture and Design Patterns for Data Engineering Use-Cases.
- Sub-Second Real-Time Data Pipelines using AWS Kinesis, Glue, Spark, Kinesis, Lambda .
- Code Repo Pipeline to automate Continuous Integration and Continuous Deployment (CI / CD).
- Running Containerized ETL workflow at scale.
- Bachelor Degree of Computer Science, IT or equivalent.
- 6 Years of data engineering experience with team leading/guiding/mentoring experience
- Advance knowledge of Python and SQL.
- Sound knowledge in running a data processing pipelines on either of these: Google BigQuery, Redshift, Hadoop, Presto, Spark, or KSQ
- Good understanding of how Kubernetes clusters work and scale on-demand.
- Have Good Interpersonal and Presentation Skills to explain and promote Best Practices across the organization with both technical as well as non-technical stakeholders.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
Morgan McKinley Pte Ltd
EA Licence No: 11C5502 | EAP Registration No: R2095054
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Job Detail
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Job IdJD1197668
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned