DATA ENGINEER SR

Solutica

Municipio de Rincón de los Sauces

Híbrido

ARS 1.800.000 - 3.200.000

Jornada completa

Hace 11 días
Generador de candidaturas

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Descripción de la vacante

Solutica in Buenos Aires is seeking a Senior Data Engineer to design and optimize data models and pipelines. You will work with cloud data environments, primarily GCP, building scalable SQL queries and integrating regional models from multiple systems. Strong English and collaboration with international teams are required.

The role focuses on data governance, security, and documentation, with hybrid work format and on-site presence in Buenos Aires.

Formación

  • 4+ years of proven experience in Data Engineering with a focus on customer data models.
  • Strong SQL skills with complex query development.
  • Hands-on experience in cloud environments, preferably Google Cloud Platform (GCP).
  • Experience integrating data across different systems and data governance tools.
  • Advanced English with the ability to communicate with native speakers.

Responsabilidades

  • Implement customer focused data models ensuring integrity, governance, and scalability.
  • Develop and optimize SQL queries for data extraction, transformation, and analysis.
  • Build and manage data pipelines in Google Cloud Platform.
  • Integrate customer data models from different systems and ensure data quality.
  • Collaborate with cross-functional teams to translate business requirements into data solutions.
  • Ensure data security, quality, and compliance; document data flows and models.

Conocimientos

SQL
Data Modeling
Data Pipelines
Cloud (GCP)
BigQuery
ETL
Governance
Python

Educación

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Herramientas

Google Cloud Platform
BigQuery
SAP
Salesforce Master Data
CI/CD tooling

Descripción del empleo

Position overview:

We are seeking a SSr/Senior Data Engineer to work on strategic projects with a focus on data. This professional will be responsible for developing, optimizing, and maintaining data pipelines; building efficient SQL queries; integrating regional data models sourced from different systems; and operating in cloud environments (primarily GCP).

Advanced English is mandatory, as communication with international teams will be frequent and sometimes independent.

Responsibilities:
  • Implement customer focused data models, ensuring integrity, governance, and scalability.
  • Develop and optimize SQL queries for data extraction, transformation, and analysis.
  • Build and manage data pipelines in cloud environments (preferably Google Cloud Platform).
  • Integrate customer data models from different systems, ensuring consistency and information quality.
  • Collaborate with cross functional teams to understand business requirements and translate them into robust data solutions.
  • Ensure data security, quality, and compliance across all processes.
  • Document processes, models, and data flows.
  • Work on integrating data from diverse sources and systems.
Requirements:
  • 4+ years of proven experience in Data Engineering, with a strong focus on customer data modeling..
  • Experience in data engineering with a focus on customer data models.
  • Strong command of SQL, including complex query development.
  • Hands on experience in cloud environments, preferably Google Cloud Platform (GCP).
  • Proven experience with GCP BigQuery.
  • Experience integrating data across different systems.
  • Knowledge of data integration, ETL, and governance tools.
  • Advanced English, with the ability to communicate independently with native speakers.
  • Strong teamwork, resilience, clear communication, and a collaborative mindset.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Nice to have:
  • Experience with SAP (ECC, S/4HANA). Master Data
  • Expertice in Salesforce Master data
  • Experience with DevOps and CI/CD practices.
  • Knowledge of Python or other programming languages for data manipulation.
  • Experience with the master data management tool Reltio.
Work Location & Dynamics:
  • Format: Hybrid (On-site presence required in Buenos Aires)
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