Data Architect at Capco Singapore

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Data Modelling, Data Standards, Data Lineage, Masking, Encrypt/Decrypt, Data Quality Score Cards, Data Management, Data Governance Dashboards, Visualization Scorecards, Sharepoint, R, Python, Teradata, Hadoop-Cloudera, ETL/ELT Tools

Industry

Financial Services

Description

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 in banking or financial service industry: 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

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Responsibilities

The role involves collaborating with senior stakeholders to break down complex challenges and develop innovative data architecture solutions, focusing on shaping the future of data architecture within the financial data space. Key duties include providing subject matter expertise in various technologies, delivering data modeling requirements, driving data quality enhancements, and ensuring proper risk management processes are followed.