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Urgent! Data Engineer (financial/investment domain) - SQL, Tableau, Qlikview Job Opening In Singapore, Singapore – Now Hiring LUXOFT INFORMATION TECHNOLOGY (SINGAPORE) PTE. LTD.

Data Engineer (financial/investment domain) SQL, Tableau, Qlikview



Job description

Project Description

We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team.

The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management.

As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities

  • Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.

  • Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.

  • Optimize data storage and retrieval performance in Snowflake.

  • Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.

  • Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.

  • Develop and maintain reusable SQL scripts and stored procedures for data processing.

  • Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.

  • Provide technical guidance and mentorship to junior data engineers and other team members.

  • Work closely with IT and DevOps teams to ensure seamless data integration and deployment.

  • Design and build data layers to support various analytical and reporting needs.

  • Ensure data layers are well‑documented, easily accessible, and performant.

  • Implement data governance and security best practices to protect sensitive information.

  • Monitor and optimize the performance of data pipelines, databases, and queries.

  • Identify and resolve performance bottlenecks to ensure timely and efficient data processing.

  • Stay up‑to‑date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Education and Experience

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

  • Minimum of 2‑5 years of experience in data engineering, with a strong focus on SQL and data manipulation.

  • Proven experience working with Snowflake or other cloud‑based data warehousing solutions.

  • Experience with Tableau.

  • Strong background in designing data models and building scalable data pipelines and data models.

  • Solid understanding of financial instruments, investment operations, investment reporting, and portfolio management concepts.

  • Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills

  • Expert‑level proficiency in SQL, with the ability to write complex queries and optimize them for performance.

  • Strong experience with ETL tools and processes.

  • Familiarity with Tableau, Qlikview, Qlik Sense.

  • Familiarity with programming languages such as Python.

  • Knowledge of data governance, security, and compliance best practices.

  • Excellent problem‑solving and analytical skills.

  • Strong communication and collaboration skills.

Nice‑to‑Have Skills

  • Expert‑level proficiency in SQL.

  • Strong experience with ETL tools and processes.

  • Familiarity with Tableau, Qlikview, Qlik Sense.

  • Familiarity with programming languages such as Python.

  • Knowledge of data governance, security, and compliance best practices.

  • Excellent problem‑solving and analytical skills.

  • Strong communication and collaboration skills.

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Required Skill Profession

Database, Analytics & Bi



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