Big Data Support Engineer
Antas is seeking a Big Data Support Engineer to manage system availability and datamart deliverables in a financial services environment. The role focuses on production support, including troubleshooting batch issues, root cause analysis, and system optimization. Candidates must have extensive experience with Hadoop or Teradata, SQL, and Unix shell scripting. You will ensure high system performance and throughput while participating in disaster recovery exercises.
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Experience
5-9 years
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Antas is seeking a Big Data Support Engineer to manage system availability and datamart deliverables in a financial services environment. The role focuses on production support, including troubleshooting batch issues, root cause analysis, and system optimization. Candidates must have extensive experience with Hadoop or Teradata, SQL, and Unix shell scripting. You will ensure high system performance and throughput while participating in disaster recovery exercises.
TAL's take
Standard mid-tier support role in the financial domain with a well-defined technical stack.
The role clearly defines the responsibilities for a production support environment with specific technical prerequisites.
Must haves
- 5+ years of experience on Teradata or Hadoop
- 3 years of experience in banking/financial services industry
- Strong SQL skills
- Strong Unix shell scripting skills
- Proficiency in job scheduling tools
Tools and skills
About the company
unfamiliar company, default mid-tier
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