 
						Dataops Engineer
21 hours ago
M- Posted by
- Manisha Doogar- Recruiter Our client, a leading financial services company is looking to hire a DataOps Engineer who will be responsible for managing and monitoring the production environment for the Data platform in a multi-cloud setting. This role combines elements of data engineering and data operations. The role involves creating and managing data pipelines.
**Responsibilities**:
- Manage and monitor the central Data and AI platform and related tools/systems for advanced business analytics and enterprise data governance.
- Oversee day-to-day operations of the Data & Analytics platform, ensuring smooth and efficient data pipelines.
- Ensure service and data availability as per SLA, investigate, analyze, and resolve data/batch incidents within SLA, and implement proactive preventive measures.
- Provide technical advice to the team, participate in major incident calls, and lead the team for incident resolution.
- Create and monitor analytics dashboards for different business functions.
- Ensure the quality, integrity, and accuracy of datasets through tracked, secured, and auditable controls.
- Collaborate with stakeholders to address data-related technical issues and support their data needs.
- and enforce best practices in software development and data operations.
- Perform L1/L2/L3 tasks for production monitoring and work closely with data engineers and the business analytics team to assist in data ingestion and data-related technical issues.
**Requirements**:
- Hands-on coding skills with Python, PySpark, and SQL, with an understanding of object-oriented analysis and design.
- Working knowledge of Microsoft Azure cloud services.
- Hands-on experience with Linux and shell scripting.
- Experience with cloud services and tools (AWS/Azure/GCP) and cloud data warehouse platforms.
- Experience with modern DevOps practices, including version control, TDD, CI/CD, etc.
- Experience with traditional RDBMS-based systems, Data Lake, Data Warehouses, Marts, and modern NoSQL and cloud-native big-data technology stacks.
- Understanding of Azure Data Factory, Azure Databricks, ADLS Gen 2, SQL Server, Event Hub, Power Apps, and Azure DevOps.
- Demonstrated ability to understand, work with, and deliver robust solutions in multiple programming languages, frameworks, technology stacks, runtime environments, etc.
- Degree level or higher in Computer Science or another quantitative field.
- 5-10 years of technical experience demonstrating increasing sophistication in implemented solutions and the ability to deliver.
- Fluency in both written and spoken English.
- Certification in Microsoft Azure Cloud services, preferably in Data Engineering/Administration (preferred).
If you or someone in your network is ready to step into an engaging role that offers the best of the technology world—don't miss out
- ABOUT COMPANY
- KS Talent Solutions
- Singapore
5 Employees HR & Recruitment
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