Data Engineering
Hybrid · Lima, Lima Province, Peru
Job Summary
Data Engineer at Kyndryl: design and build data pipelines to cleanse, normalize, and transform raw data into refined datasets; ensure data quality and availability to enable data-driven decisions; collaborate with business stakeholders to translate objectives into data solutions; apply ETL practices across cloud-based tools and databases, and manage data lifecycle to keep datasets fresh and impactful. The role emphasizes transforming raw data into actionable insights and leveraging a blend of data engineering, domain expertise, and consulting finesse to power strategic decisions. The position supports a dynamic, hybrid-friendly culture and opportunities for growth, learning, and certifications across major cloud platforms.
Required Qualifications
- 2+ Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
- 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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