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Open nowPosted 17 days ago

Technical Lead - Data Engineer

MyCareersFuture94,028 open roles

Pay
SGD 8,000 – SGD 11,000 a month
Where
Singapore
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Your applicationOpen nowTechnical Lead - Data EngineerMyCareersFuture · Singapore

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

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 17 days ago

The posting

· Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos.

· Minimum 10 years of hands-on experience in the design, development, and maintenance of large-scale Microsoft BI solutions in enterprise environments, ideally within banking, financial services, or a similarly regulated industry.

· Proven experience delivering end-to-end BI solutions from requirements gathering through to production support, across multiple concurrent business domains.

· Demonstrated experience in a technical lead or senior individual contributor capacity, including solution design ownership, code reviews, and team mentoring.

· Solid understanding of SDLC and/or Agile/Scrum development frameworks and methodologies.

· Must-have qualifications

o SQL Server (2017, 2019, 2022): Deep expertise inthe database engine, query optimisation, indexing strategies, and complex dataretrieval and manipulation at scale.

o ETL Development: Proficient in designing andbuilding robust, large-scale ETL pipelines using SSIS, including customscripting with C# for advanced data manipulation tasks; experience with BIMLfor automated SSIS package generation is a strong advantage.

o Reporting & Visualization: Hands-on experience developing enterprise reports and dashboards using SSRS and Power BI, including Power BI Service, row-level security, and deployment pipelines.

o SSAS & Analytical Modelling: Strong expertise in SSAS Tabular model development; proficient in DAX and MDX for complex analytical calculations and KPI modelling.

o Data Warehousing & Architecture: Strong command of data warehouse design principles, including dimensional modeling (star/snowflake schemas), data marts, slowly changing dimensions, and data lineage—with experience maintaining and evolving large-scale DWH environments.

o Open-Source Data Pipelines: Hands-on experience building and maintaining data pipelines using open-source frameworks such as Apache Airflow, Apache Spark / PySpark, or dbt, complementing the core Microsoft BI stack.

o Broader Database & DWH Platforms: Working experience with non-Microsoft database and DWH platforms such as PostgreSQL, MySQL, Snowflake, Amazon Redshift, or Google BigQuery, demonstrating versatility across data ecosystems.

o CI/CD & DevOps: Experience implementing Continuous Integration/Continuous Deployment pipelines using Azure DevOps or equivalent tooling, including automated testing and release management for BI artifacts.

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