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Full-time, Hybrid

Data Engineer 2 - Product Data & Analytics

Product Data & Analytics
USD 100,000-130,000 per annum USD

About the Role

Overview:
The Product Data & Analytics team at Shimonee builds internal analytic partnerships to enhance business health and optimize revenue opportunities. We focus on initiative tracking, new product development, and Go-To Market strategies. Join a global analytics team that supports users across continents and become the go-to resource for data analytics within our company.

Responsibilities:
  • Work closely with global teams to develop data pipelines supporting analytics needs.
  • Support cross-functional projects using advanced data engineering techniques.
  • Build and maintain data models, ETL pipelines, and data warehouses.
  • Translate business requirements into technical solution specifications.
  • Create reusable processes for data ingestion and transformation frameworks.
  • Use tools to manipulate large-scale databases for insights.
  • Apply quality control processes to new and existing data sources.
  • Recruit and supervise data engineer & analyst-level employees.

Requirements:
  • Experience in data engineering and quantitative analysis.
  • Advanced SQL skills for large datasets (Big Data).
  • Experience with Databricks, Hadoop, Big Data technologies.
  • Cloud platform experience such as AWS or Azure.
  • Proficiency in Pyspark, Python, Hive.

Benefits:
  • Competitive salary with performance bonuses.
  • Health insurance coverage including dental and vision plans.
  • Opportunities for professional growth within a global team.

Requirements

  • Experience in data engineering and quantitative analysis.
  • Advanced SQL skills for large datasets (Big Data).
  • Proficiency in Pyspark, Python, Hive.
  • Experience with Databricks, Hadoop, Big Data technologies.
  • Cloud platform experience such as AWS or Azure.
  • Ability to translate business requirements into technical solution specifications.
  • Experience in building and maintaining data models, ETL pipelines, and data warehouses.
  • Ability to support cross-functional projects using advanced data engineering techniques.

About shimonee

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Posted on: October 13, 2025

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shimonee

Data Engineer 2 - Product Data & Analytics

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