Job Description

At Kaizen Human Resources we are looking for a Semi Senior Data Engineer for an important company in the Telecommunications segment.

Tasks
Design, develop and maintain batch and real-time data pipelines (ETL/ELT).
Ingest and process large volumes of network and business data: CDRs/xDRs, network telemetry and OSS/BSS systems.
Develop streaming processes with Kafka and Spark Structured Streaming or Flink, for network monitoring and event detection in real time.
Build and optimize data models in Lakehouse architectures with Delta Lake or Apache Iceberg (bronze, silver and gold layers).
Orchestrate and automate data flows with Airflow or Dagster.
Develop transformations and analytical models with dbt, applying good versioning and testing practices.
Implement data quality, lineage and observability controls.
Optimize the performance and costs of processes and queries in cloud environments.
Prepare datasets for the Analytics, BI and Data Science teams (churn, customer segmentation, fraud, network capacity).
Participate in the definition of architecture and document the processes, collaborating in agile teams.

Requirements
At least 3 years of experience as a Data Engineer.
Advanced command of Python and SQL.
Experience with Apache Spark / PySpark in processing large volumes of data.
Experience in cloud data platforms: Databricks, Snowflake or BigQuery.
Knowledge of at least one cloud provider: AWS, GCP or Azure (for example S3/GCS, Glue, EMR, Dataflow or Data Factory).
Streaming experience with Apache Kafka (Flink or Kinesis/Pub/Sub desirable).
Management of orchestrators (Airflow / Dagster) and dbt.
Knowledge of open formats and tables: Delta Lake, Apache Iceberg, Parquet.
Use of Git and CI/CD, and knowledge of Docker. Kubernetes and Terraform desirable.
Experience in data quality and governance (Great Expectations, Soda, Unity Catalog or similar).
Desirable: Previous experience in Telecommunications (CDRs, OSS/BSS, network data).
Desirable: having worked with pipelines for AI/ML or GenAI (feature stores, vector bases, MLflow).
Technical English for reading documentation.

Benefits
Hiring in a direct dependency relationship and employment continuity.
Competitive salary with regular updates.
Annual performance bonus.
First level prepaid social work including family group.
REMOTE work modality for residents in Buenos Aires
Reimbursement of internet expenses
Cloud courses and certifications (AWS, GCP, Azure, Databricks),
Birthday day off

Modality and schedule:
100% remote from Buenos Aires. Monday to Friday from 9 a.m. to 6 p.m.",