The Data Engineer 2 will join a fun, dynamic team to help solve integration and
data problems relating to sports and entertainment. This role will design,
build, and maintain data pipelines using a modern data stack — combining data
from cloud and on-premises systems, transforming it with dbt, and orchestrating
workflows end to end. The position is responsible for ETL/ELT from many
disparate systems into the data warehouse and offers the opportunity to own
projects from beginning to end.
The team is finalizing its target data architecture between two directions — a
balanced on-prem/cloud modernization and a best-in-class cloud-native platform —
so the right candidate will bring strong fundamentals that apply to both, along
with depth in at least one. Architectural guidance will be available, but this
engineer must be able to implement data models effectively and independently.
The right candidate will be motivated to learn, contribute to the team and
organization, and grow along with the business.
What you will do:
DATA INTEGRATION & PIPELINE DEVELOPMENT
* Combine data from various sources, cloud and on-premises, based on business
requirements
* Translate business requirements into data warehouse pipelines using ETL/ELT
methodologies
* Build and maintain transformation workflows in dbt (Core or Cloud)
* Develop, schedule, and monitor pipelines using a workflow orchestration
platform (e.g., Airflow, Prefect)
* Implement dimensional data models with architectural guidance
* Perform data cleansing and standardization, and load data into a centralized
data warehouse
* Write and maintain Python code supporting ingestion and transformation
processes
ANALYTICS ENGINEERING & DEVOPS PRACTICES
* Apply testing, CI/CD, and documentation practices to data pipelines and
models
* Improve reliability, maintainability, and performance of existing data
processes
* Proactively identify potential data problems and respond to unexpected issues
BUSINESS INTELLIGENC
📌 Mid-Level Data Engineer (Argentina)
🏢 AspenView Technology Partners
📍 Argentina
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