Expertise in spark or hadoop distributed technologies
Proficiency in python and c++ programming
The Data Engineering Engineer works closely with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions
Job Summary
The Data Engineering Engineer works closely with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions.
Candidates must have expertise in distributed data technologies like Spark or Hadoop and experience working on Databricks for large-scale data processing.
Takeda offers competitive salary plus annual performance bonus, flexible work arrangements, and comprehensive health insurance plans.
Matching Summary
The Data Engineering Engineer works closely with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions.
Salary
Competitive salary; Annual performance bonus; Monthly food and meal vouchers
Skills & Requirements
Must-have
1-3 years of data engineering experience
Expertise in Spark or Hadoop distributed technologies
Proficiency in Python and C++ programming
Advanced SQL skills for complex queries
Experience with Databricks for data processing
Knowledge of Kubernetes for cloud deployment
Nice-to-have
Collaboration with AI/ML Engineers
Mentoring other data professionals
Agile team environment experience
Problem-solving for data optimization
Key Requirements
1-3 years of experience in data engineering
Deep understanding of software development methodologies