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Open nowPosted yesterday

FBA, Data Lakehouse (Banking, 1-year renewable contract)

MyCareersFuture96,520 open roles

Pay
SGD 5,500 – SGD 8,500 a month
Where
Singapore
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Your applicationOpen nowFBA, Data Lakehouse (Banking, 1-year renewable contract)MyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

Dear Applicant,

If you or someone you know is interested, please send the CV directly to [email protected] (most preferred, as I may overlook some CVs due to the high volume).

Please note that visa sponsorship is not available at this time.

Key Responsibilities

  • Act as the key liaison between business stakeholders, data teams and technology teams to deliver data lakehouse initiatives.
  • Gather, elicit and analyse business requirements for enterprise data, reporting, analytics and data platform initiatives.
  • Translate business requirements into detailed functional requirements, data requirements, data flows and business rules.
  • Work with data engineers, solution architects and technical teams to define data ingestion, transformation, storage and consumption requirements.
  • Analyse and document as-is and to-be data flows, including data sources, mappings, transformations, business logic and downstream consumption.
  • Define data requirements for structured and unstructured data across multiple business functions and source systems.
  • Support the design and implementation of Data Lakehouse architecture and data products, ensuring solutions meet business and operational requirements.
  • Work with stakeholders to define data quality, reconciliation, validation and governance rules.
  • Perform data analysis and profiling using SQL to validate requirements, investigate data issues and identify gaps or inconsistencies.
  • Develop and maintain Business Requirement Documents (BRD), Functional Specifications, data mapping documents, user stories and acceptance criteria.
  • Work closely with data engineering teams throughout development, SIT, UAT and production implementation.
  • Review technical solutions and data models to ensure alignment with business requirements and expected outcomes.
  • Support data migration, integration and transformation activities, including source-to-target mapping and reconciliation.
  • Identify and manage requirements-related risks, issues, dependencies and scope changes.
  • Coordinate with multiple business and technology stakeholders to resolve data issues and ensure timely delivery.
  • Support UAT planning, test case review, defect management and business sign-off.
  • Ensure data solutions comply with relevant data governance, security, privacy, regulatory and banking requirements.

Key Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Business or a related discipline.
  • 5+ years of experience as a Business Analyst / Functional Business Analyst, preferably within banking or financial services.
  • Proven experience working on Data Lake, Data Warehouse, Data Lakehouse or enterprise data platform initiatives.
  • Strong understanding of data architecture, data flows, data integration, data transformation and data lifecycle management.
  • Experience translating complex business requirements into functional requirements and data specifications.
  • Strong hands-on SQL skills with the ability to perform data analysis, validation, reconciliation and troubleshooting.
  • Experience with source-to-target mapping, data lineage, data modelling and data quality concepts.
  • Good understanding of data ingestion and integration patterns, including ETL/ELT, APIs, batch processing and real-time data integration.
  • Experience working with data platforms such as Databricks, Snowflake, Cloudera, Hadoop or similar technologies.
  • Experience working with Data Lakehouse architecture, including concepts such as data layers, medallion architecture and data products, is highly desirable.
  • Strong experience producing BRD, functional specifications, user stories, data mapping and acceptance criteria.
  • Experience supporting SIT/UAT, data migration, reconciliation and production implementation.
  • Strong stakeholder management skills, with the ability to work across business, data engineering, architecture, technology and operations teams.
  • Good understanding of data governance, data quality, data security and regulatory requirements within financial services.
  • Strong analytical and problem-solving skills, with the ability to investigate complex data issues and translate findings into practical solutions.
  • Excellent communication skills, with the ability to explain complex data and technical concepts to both business and technology stakeholders.
  • Experience working in Agile / Scrum delivery environments is an advantage.
  • Exposure to Python, Power BI/Tableau, cloud platforms or data visualisation tools is an advantage.
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