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Singapur, Singapore NTT DATA Full timeJob Description Make an impact with NTT DATAJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.Your day at NTT...
Data Engineer
2 months ago
We are seeking a highly skilled and experienced Big Data Engineer to lead our data engineering efforts. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environments, such as Cloudera Data Platform. Overall experience can be 4 to 10 years. Consultant/Senior Consultant preferably.
Key ResponsibilitiesData Ingestion and Processing
Analyze the Authority's data needs and document the requirements.
Refine data collection/consumption by migrating data collection to more efficient channels.
Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
Develop test plans and scripts for system testing, support user acceptance testing.
Work with the Authority's technical teams to ensure smooth deployment and adoption of new solutions.
System Operations and Support
Ensure the smooth operations and service level of IT solutions.
Support production issues - Track record in implementing systems with high availability, high performance, high security.
RequirementsTechnical Skills
Good understanding and completion of projects using waterfall/Agile methodology.
Good understanding of analytics and data warehouse implementations.
Ability to troubleshoot complex issues ranging from system resource to application stack traces.
Strong SQL, data modeling, and data analysis skills are a must.
Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
Track record in implementing systems using Hive, Impala, and Cloudera Data Platform will be preferred.
Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
Soft Skills
Passion for automation, standardization, and best practices.
Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.