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HyTech

Data Engineer

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  • Posted 21 hours ago
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Job Description

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

Key Responsibilities

  • Design, develop, and maintain data marts to support business analytics and reporting needs
  • Build and optimize ETL/ELT pipelines using scalable data processing frameworks
  • Translate business requirements into dimensional models (star/snowflake schemas)
  • Ensure data quality, consistency, and reliability across datasets
  • Optimize query performance and data storage for efficient downstream consumption
  • Collaborate with business stakeholders (Sales, Finance, Operations) to deliver actionable datasets
  • Work closely with Data Analysts and BI teams to enable self-service analytics
  • Implement data governance, documentation, and best practices across the data layer
  • Monitor and troubleshoot pipeline performance and data issues

Technical Requirements

  • Strong experience in data mart / data warehouse modeling (Kimball methodology preferred)
  • Hands-on experience with Databricks (Spark, PySpark)
  • Solid experience in AWS data services (e.g., S3, Glue, Redshift, Lambda – depending on stack)
  • Proficiency in SQL and at least one programming language (Python preferred)
  • Experience building and maintaining ETL/ELT pipelines
  • Understanding of data partitioning, indexing, and performance tuning

Nice to have

  • Practical experience in defining and enforcing data security rules (e.g., data classification, access control policies, masking strategies, audit mechanisms

What We Offer

  • Easy access to public transportation (LRT & KTM).
  • Transportation allowance.
  • Corporate insurance coverage, including dental, optical, and outpatient claims.
  • Gym and fitness claims.
  • Ongoing training and development opportunities.
  • Exposure to exciting projects that support career growth and professional development.

More Info

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About Company

Job ID: 150509655

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