Project Description:

Our Client a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America are looking for Consultants to be part of the project

The client has more than 80 years of history in the banking industry and is expanding its footprint in Malaysia.

The selected resource will be working in a newly setup technology centre located in Kuala Lumpur as part of Technology and Operations to deliver innovative financial technology solutions that enable business growth and technology transformation.

Responsibilities:

Act as a technical expert in the designing, coding, unit testing, supporting, and debugging of data warehouse software components in all aspects of SDLC

Apply cloud and ETL engineering skills to solve problems and design approaches

Troubleshoot and debug ETL pipelines and creating unit tests for ETL pipelines.

Assess query performance and actively contribute to optimizing the code

Write technical documentation and specifications

Support internal audit by submitting required evidence

Create reports and dashboards in the BI portal

Work with Development Lead, DWH Architect and QA Engineers to plan, implement and deliver best ETL strategies

Work with business analysts to understand requirements to create technical design specifications, gaining a sound understanding of business processes for related applications so that integration processes fulfill the end-user requirements

Communicate effectively in a collaborative, complex and high performing team environment as per Agile principles

Mandatory Skills Description:

6 to 9 years of experience

Proven work experience as an ETL Developer

Advanced knowledge of relational databases and dimensional Data Warehouse modelling concepts

Good understanding of physical and logical data modeling

Very good understanding of modern SaaS / PaaS data solutions in a cost conscious approach

Expert level of knowledge of Microsoft Data stack

Experience in developing and deploying data oriented solutions in Cloud (Azure / Synapse Analytics / Fabric)

Experience in designing and implementing data transformation and ETL layers using Data Factory, Notebooks

Experience with PowerBI for report & dashboard creation. PowerQuery and/or DAX is an advantage.

Experience in / understanding of Azure Data Lake Storage

Knowledge / use of CI/CD tools and principles, preferably Azure DevOps or Bamboo

Strong SQL knowledge, able to create complex SQL queries and good understanding of stored procedures, views, indexes, functions, etc.

Good working knowledge of at least one scripting language. Python is an advantage.

Experience with GIT repositories and working with branches. GitHub, Azure DevOps or Bitbucket experience are preferable.

Ability to troubleshoot and solve complex technical problems

Good understanding of software development best practices

Working experience in Agile projects; preferably using JIRA

Experience in working in high priority projects preferably greenfield project experience

Able to communicate complex information clearly and concisely.

Able to work independently and also to collaborate across the organization

Highly developed problem-solving skills with minimal supervision

Understanding of data governance and enterprise concepts preferably in banking environment

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