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🌟 Hiring: Senior Data Engineer – Malaysia (Client Location) | New Era Technology 🌟
Client Location: Kuala Lumpur
Company: New Era Technology – www.neweratech.com
Work Type: Full-Time, Permanent
🚀 About the Role:
New Era Technology is looking for experienced Senior Data Engineer to be deployed at our prestigious client in Malaysia at their Kuala Lumpur office. A role to be responsible for system design, development and implementation of regional frontend systems. Provide maintenance and support on production systems.
🛠️ Key Responsibilities:
- Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real-time. This include data analysis, data profiling, data cleansing, data lineage, data mapping, data transformation, developing ETL / ELT jobs and workflows, and deployment of data solutions.
- Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness, and to optimize and fine-tune ETL / ELT processes.
- Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of ETL / ELT processes, coding and configuration standards, error handling and notification
- standards, auditing standards, and data archival standards.
- Prepare test data, assist in creating and execute test plans, test cases and test scripts.
- Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors and internal business stakeholders, to understand data needs, gather requirements and implement data solutions to deliver business goals.
- BAU support for any data issues and change requests, document all investigations, findings, recommendations and resolutions.
KEY PERFORMANCE INDICATORS
- Maturity level on technical skillsets of management and development on big data platform including data modeling design, data transformation, big data programming and performance tuning
- Effectiveness of project contribution, including from technical support, project management and team collaboration perspective, to deliver data lake system on assigned local countries
- Level of understanding on business requirements and capability to transform them into technical solution
- Variety of new technologies (such as Azure and AWS Big Data Solution, Power BI, Tableau, Python and etc) and techniques being learnt that can be applied to solution delivery
EXTERNAL & INTERNAL CONTACTS
- Group Infrastructure Team, Security Teams and Operation Team
- Group Project Team
- Local country Project Team (IT and User)
- IT Vendors and/or Service Providers
🎓 Qualification & Experience:
- Bachelor's degree in IT, Computer Science or related Engineering.
- At least 5 years of relevant experience in data engineering or related field
- In-depth understanding of data structures, algorithms, databases, and software engineering.
- Experience in data management and data warehousing technologies (data mart, data lake, lake house)
- Ability to write efficient and scalable code
- Experience with end-to-end data processing pipelines, ETL/ELT, and data warehousing
- Knowledge of distributed systems and experience working with distributed data processing technologies.
- 5+ years of professional experience in implementing operational data stores, data warehouses, data mart and large scale data architectures in Unix and/or Windows environments
- 5+ years of hands-on ETL development experience, including transforming complex data structures from multiple sources.
- 5+ years of experience with big data technologies including Azure and AWS, Azure data factory, Databricks, Synapse, Hadoop, Hive, Storm, Presto, and real-time data transformation and processing technologies such as Confluent Kafka, ksqldb, kstream, Apache Flink, and Apache Spark Streaming.
- 5+ years of experience in implementing data models using dimensional modeling and data vault modeling techniques.
- Experience with scripting languages such as Shell, Perl or Python
- Experience with any software development methodologies.
KNOWLEDGE & TECHNICAL SKILLS
- Strong knowledge of various database technologies (RDBMS, NoSQL, and columnar).
- Ability to handle and process different types of data (structured, semi-structured, and unstructured).
- Strong proficiency in at least one programming language such as Python, Java or Scala.
- Knowledge of MDM, Data Governance tools, and Informatica technologies.
- Prior experience in the insurance industry is an advantage.
- Knowledge of data security and privacy best practices, such as encryption and data masking
- DevOps (CI/CD) and data privacy regulations knowledge.
Good to Have
- Experience in API development and integration. E.g. SOAP, RestAPI
- Build and modify APIs(Restful) and programs using Phyton or Java
- Please share your updated resume along with the below details.
👤 Preferred Candidate:
- Nationality: Malaysians preferred
- Availability: Candidates who can join immediate or 30-60days notice.
📧 How to Apply:
Send your updated resume to [email protected]
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What We Do
New Era Technology is a global managed technology service provider. New Era serves as a trusted adviser to more than 14,500 customers worldwide. Customers rely on New Era’s seamless blend of solutions that securely connect people, places, and information in a rapidly changing digital world. New Era has offices in the Americas, the United Kingdom, APAC, and Europe.
New Era provides solutions and services to diverse industries including Global Enterprise, Banking & Finance, Smart Buildings & IoT, Healthcare, Education, and Government.
Solutions and Services:
• Collaboration & Unified Communications
• Data Networking
• Digital Transformation
• SecureBlu Security Services
• CloudBlu Cloud Services
• Physical Security & Life Safety
• Managed Services
• Professional Services
