Data Platform Developer

4 days ago

Singapore beBeedata Full time

As a Data Engineer, you will be responsible for designing, building and maintaining modern data platforms to support data-driven decision-making.

The ideal candidate will have a proven track record of designing, building and maintaining data pipelines and infrastructure. They will execute technical implementation of data engineering and visualization projects, and be a hands-on role.

This position requires strong understanding of data warehouse, data lake, data mart, OLTP and OLAP concepts. The successful candidate will help in creating technical collateral and staying on top of technology trends with ongoing training and certifications.

AWS Data Engineering:
  • Develop and maintain scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and Athena
  • Work with Amazon S3, Redshift, and Lake Formation to implement data lakes and warehouses
  • Monitor and optimize pipeline performance and cost efficiency
Data Warehousing & Modeling:
  • Build and support star/snowflake schemas, fact and dimension tables in Redshift or SQL Server
  • Ensure data integrity, lineage, and consistency across various source systems
Data Quality & Validation:
  • Implement automated data quality checks using custom logic or tools such as Deequ or Great Expectations
  • Perform root cause analysis and resolve data-related issues during development and testing phases
Collaboration & Support:
  • Work with data analysts, business users, and architects to translate requirements into technical specs
  • Support UAT, deployment, and production issue resolution for ETL pipelines and reports
  • Qualifications:
    • 4+ years of experience in dealing with data (Data Engineer or related role)
    • Proven track record of designing, building, and maintaining data pipelines and infrastructure
    • Expertise in programming languages (Python, Scala or Java)
    • Expertise in SQL
    • Expertise in data catalog and governance tools (Glue catalog, etc.)
    • Familiarity with data validation framework(s)
    • Strong understanding of Data warehouse, Data lake, Data mart, OLTP and OLAP concepts
    • Experience in data modeling, ETL/ELT processes, and data quality principles
    BENEFITS:

We offer a comprehensive benefits package including benchmarked, competitive, in-market total rewards package including base salary & short-term incentive for all employees. We also provide globally built benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens.

Globally, we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

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