Data Architect

Details of the offer

Malaysia
Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
ABOUT CAPCO
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.  You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
ROLE DESCRIPTION
In this role, you'll collaborate with senior stakeholders across the bank, breaking down complex challenges and developing innovative approaches and solutions. You'll be joining an exceptionally talented and supportive team, united by a shared mission to shape the future of data architecture in the financial data space. We offer competitive compensation and the opportunity to make a tangible impact, powered by Capco's recognized brand and industry-leading capabilities.
If you have an entrepreneurial spirit and are passionate about data privacy, we'd love to hear from you. Let's discuss how your expertise can help us push the boundaries of what's possible.
KEY RESPONSIBILITIES
Subject matter expertise in technologies (TD, HD, BDA, R, Python) and Data Management
Understand and deliver data modeling requirements – physical and logical data modeling
Drive data quality enhancements at scale to solve business problems in a prioritized manner
Build and support data flow integration between different products increasing the capabilities of our product and expanding its use across the firm
Ability to understand and deliver client requirements end to end for reference data and data lake aligned use cases
Ensure proper risk management process is adhered too, to mitigate risk exposure for the firm

MANDATORY SKILLS AND EXPERIENCE
Functional Skills
Experience in any of the areas:
Data Mining. Data modelling, Data Standards
Data Lineage, Masking, Encrypt/Decrypt
Data Quality Score Cards, Data Management, Data Governance
Dashboards, Visualization Scorecards, Sharepoint

Technical Skills
Certified in anyone of the below but should have multiple skillset:
R, Python
Teradata
Hadoop-Cloudera
ETL/ELT Tools - Trillium, informatica (Any data Modelling or data profiling tools)
Data Visualization Tools (Oracle DV, Denodo, Clairvoyant, OEDQ, Paxata)
Cloud (AWS, Azure, GCP)
OS - Scripting (Any OS)

Hard Skills / Requirements
Technology Infrastructure (HW, SW & Applications hosted) Expertise
Ability to understand in depth how technology products are delivered as per requirement

Strong Data Architecture experience
Advanced understanding of reference data, data lake, and other information system solutions
Experience integrated multiple systems together to create an intelligent and resilient information system solution
Ability to use industry standard tools to create logical and physical data models for technology infrastructure and reference data

Information System Design
Experience delivering or supporting information systems using extract, translate, load (ETL) and publishing methods
Understanding the right technical solution to represent the data appropriately to meet the client requirement
Experience with performance tuning of information systems (e.g. streamlining ETLs to run faster)

Data Quality Experience
Understanding the core concepts of data quality–how to measure improve
Understanding what data quality issues pose the greatest risks to the Company's operations and raising those to governance effectively

PREFERRED SKILLS AND EXPERIENCE
4-6 years' experience in any of the areas:
Data Warehousing 
Big Data 
Master Data Management, Reference Data Management 
Worked as SI/Sa in Financial domain 
Pig, MapReduce, Hive, Hbase
Big Data Integration, Ingestation Framework (4 years)
Data Lab, Data Lake (4 years)
ITIL, TOGAF (any one)

WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
A work culture focused on innovation and building lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture
Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement
NEXT STEPS
If you're looking forward to progressing your career with us, please do not hesitate to apply. We are looking forward to receiving your application.
To learn more about Capco and its people check out the website on www.capco.com


Nominal Salary: To be agreed

Source: Greenhouse

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