Data Engineer
Hybrid · Lima, Lima Province, Peru
Job Summary
Data Engineer at Kyndryl responsible for building data platforms, cleansing, normalizing, and transforming raw data into final datasets, and ensuring data quality and lifecycle management. You’ll design and oper ate data pipelines using tools like Glue, Databricks, Synapse, and Dataproc, work with relational and NoSQL databases, and translate business requirements into scalable data solutions. The role emphasizes crafting data assets that empower decision-makers and support data-driven insights, within a dynamic, hybrid-friendly environment.
Required Qualifications
- 3+ Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
- 3+ Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
- Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
- Excellent problem-solving, analytical, and critical thinking skills
- Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
- Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems
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