Job Seeker Reactivate Your Account
Thank you, this account has been Deactivated.
Do you want to Reactivate your account?
No
Yes
Sorry, unable to apply, please Upload CV Attachment, or update your JobNet Profile to at least 55% of completion.
UPLOAD CV
UPDATE PROFILE

Cloud & Big Data Architect

Wave Money

Cloud & Big Data Architect

Wave Money
Recruiter active 1 hour ago The recruiter at this company was last active reviewing applications.
Myanmar - Yangon
Full Time
Verified This job has been verified by the company as a real job vacancy.
1 week ago

Experience level

Experienced Non-Manager

Job Function

IT Hardware, Software

Min Education Level

Bachelor Degree

Job Description

Position Overview

We are looking for the Cloud & Big Data Architect who have the passion for Data Analytics with knoweldge of diffrent on-premise and cloud based data implementation using AWS, Azure and Google Cloud. The ideal candidate will be responsible for guiding the full lifecycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing and deployment in Cloud Infrastructure. We are looking for candidate with broad set of technology skills to be able to design and build roubust big data solutions.   

Key Result Areas

  • Provide advisory and thought leadership on the provision of analytics environment leveraging Cloud based platforms, big data technologies, including integration with existing data analytics platforms and tools.
  • Design and implement scalable data architectures leveraging Hadoop, NoSQL and emerging technologies, covering on-premise and cloud-based deployment patterns.
  • Define, design and implement data access patterns for multiple analytical and operational workloads, across on-premise and cloud based platforms.
  • Create information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management across Spark and NoSQL platforms, spanning on-premise and Cloud based platforms.
  • Delivery of enterprise wide cloud strategies, aligned with organization objectives and with focus on Cloud Migrations ensuring global to local regulations, security, risk and compliance.

Competencies & Behaviours

  • Technical: Keeps up to date with latest trends in data and cloud-based analytics.
  • Passion for data: Belief that data and insight can grow and transformation an organization.
  • Partnership: Successful professional approaches to collaboration with all stakeholders and team;
  • Communication: Creating and promoting enabling environment for open communication; Constructively challenge those with power and authority
  • Governance: Work well with the Management, regardless of its composition; contribute to Management; Adhere to clear lines of responsibility and accountability
  • Management: Create a positive and productive work environment, Model proper staff behavior and promote inclusive practices; create a sense of shared responsibility/credit for accomplishments and shared responsibility for challenges or failures; Lead an efficient and effective organizational operation according to best practices.
  • Decision-making: Delegate appropriate decisions and responsibilities; Make clear and timely decisions; Fair and transparent  decision making
  • Organizational Development: Create a work environment in which learning is; creating an emotionally intelligent organization, staff competence; Building and promoting effective teams, creating an environment of creativity and innovation.

Open To

Repatriate
Male/Female

Job Requirements

Experience, Functional Skills and Knowledge Areas

Expereince

  • Overall 10+ years of experience working in the field of Data Analytics architecture and design.
  • 5+ years of hands-on experience with Big Data Stack (HDFS, Spark, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka)
  • 5+ years of hands-on experience with the No-SQL (e.g. MongoDB, HBase, Casandra, Firebase, etc.)
  • 5+ years of hand-on experience with related/complimentary programming languages and platforms (Ex. Java, Linux, Apache, .NET, Python, Scala, etc.)
  • 5+ years of experience working with cloud platforms – AWS/Azure/Google Cloud
  • Hands-on experience on Data Modeling, Designing and ETL frameworks
  • Knowledge and hands-on experience with BI tools and reporting (i.e. Power BI, Tableau, etc.)
  • Hands-on with analytical tools like SSRS/SSIS, SPSS, R, MatLab, etc.
  • Hands-on experience with operationalizing Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
  • Hadoop platforms & distributions: Cloudera, Hortonworks, MapR, EMR
  • Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica, DB2, Oracle)
  • Strong experience working on containerization technology like Docker and Kubernetes.  
  • Proficient understanding of underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)
  • Strong understanding across Cloud and infrastructure components (server, storage, network, data, and applications) to deliver end to end Cloud Infrastructure architectures and designs.
  • Knowledge of further Cloud technologies (Redshift, S3, EC2, EMR, Talend/Pentaho/Snowflake)
  • Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores)

Education & Qualifications

  • B. E. / B. Tech. using Computer Science
  • Certification in any of the Cloud Technology, AWS/Azure/GCP
  • Fluent in English and knowledge of local language (Myanmar) is an asset

Technology & Methodology

  • Essential: Strong experience in Data Architecture, Agile Project Management, Cloud Technology (AWS/Azure/GCP, etc.)
  • Essential: Data modelling skills, expert level hands-on experience in enterprise data analytics 
  • Essential: Knowledge of data warehousing principles
  • Desirable: Knowledge of AI/ML and Data Science technologies

What We Can Offer

Benefits

- Medical, Life & Accident Insurance
- Mobile Usage allowance
- Travel Allowance
- Other benefits including Company Bonu

Highlights

- Myanmar's First Mobile Financial Services Provider
- Multinational Company
- International Working Environment

Career Opportunities

- Growing organization
- Develop your career

About Our Company

Wave Money is a leading mobile financial services provider operating with over 57,000 Wave shops across Myanmar. Wave Money is a joint venture between Yoma Bank and Singapore Exchange listed Yoma Strategic Holdings and provides easy, fast and reliable mobile financial services through a nationwide agent network.
Wave Money introduced a unique way of transferring money, bringing millions of people in Myanmar access to formal financial services.

Candidate CV Attachment

ADD PRIVATE CANDIDATE
Upload Profile Picture
Upload CV
Auto Fill CV
Save time on data-entry.
Education / Qualifications
Add
Cancel
Delete
Save
Work Experience
Add
Cancel
Delete
Save
Languages used
Add
Cancel
Delete
Save
Skills achieved
Add
Cancel
Save
References
Add
Cancel
Delete
Save
CV Attachments (Upload CV here)
Add
Cancel
Delete
Save
Cancel
Add
Next