Growth-Focused Data Engineer: Build scalable pipelines
DEPT®
Buenos Aires
On-site
ARS 1,200,000 - 1,800,000
Full time
14 days+
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Benefits offered by this job
Premium healthcare
Mendel prepaid card for grocery purchases
Monthly reimbursements for Wi-Fi/electricity
Monthly reimbursements for training/English classes
100% covered membership at Sportclub
Flexible vacation policy
Job summary
DEPT® is seeking a flexible Data Engineer in Buenos Aires to translate business goals into data solutions. The ideal candidate has 3+ years of experience in programming and data management tools, as well as a background in cloud environments like AWS or GCP. Enjoy benefits such as premium healthcare, a flexible vacation policy, and opportunities for training. Join us in a collaborative work environment where inclusive practices are prioritized.
Qualifications
3+ years in core programming fundamentals and debugging.
2+ years in Data Management Tools and pipeline management.
Professional software and consulting experience essential.
Responsibilities
Translate business goals into concrete data solutions.
Realign client expectations when challenges arise.
Participate in technical design of systems, schemas, or pipelines.
Skills
Scripting languages like Python, Ruby
Compiled languages like Java, Scala, C++
MongoDB + Kafka
Pipeline management tools like Airflow or Luigi
Devops tools like Terraform, Kubernetes, Docker
Database Management Systems like BigQuery, Snowflake, PostgreSQL
Experience in cloud environments (AWS or GCP)
Experience with Unix-based OSes
Tools
Git/version control
Informatica
SSIS
Datastage
Job description
DEPT® is seeking a flexible Data Engineer in Buenos Aires to translate business goals into data solutions. The ideal candidate has 3+ years of experience in programming and data management tools, as well as a background in cloud environments like AWS or GCP. Enjoy benefits such as premium healthcare, a flexible vacation policy, and opportunities for training. Join us in a collaborative work environment where inclusive practices are prioritized.