Data Engineer (Buenos Aires)

Yeah! Global; Buenos Aires; Sur place; ARS 87 134 579 - 116 179 439; Plein temps

Résumé du poste

A dynamic technology firm in Buenos Aires is seeking a skilled Data Engineer to join their team. The successful candidate will design and maintain data pipelines, ensuring effective data flow across systems. Ideal applicants should have a Bachelor's degree in Computer Science or related field, proven experience as a Data Engineer, and strong skills in SQL, Python, and cloud-based data solutions. The role supports data-driven decision-making, offering competitive compensation and professional growth opportunities.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or related field is required.
• Proven experience as a Data Engineer or in a similar role is essential.
• Strong proficiency in SQL and experience with relational databases like MySQL or PostgreSQL.

Responsabilités

• Design, develop, and maintain scalable data pipelines for efficient data flow.
• Integrate and clean raw data from various sources into structured formats.
• Develop and maintain data warehouses and lakes to support analytics requirements.

Connaissances

SQL

Python

Data Pipeline Design

Analytical Skills

Formation

Bachelor's degree in Computer Science or related field

Outils

Hadoop

Apache NiFi

Docker

AWS

Description du poste

About the job Data Engineer - Buenos Aires

Note: Please share your resume in English only.

Job Summary:Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines.
• Integrate, clean, and organize raw data from various sources into structured formats.
• Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
• Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
• Optimize database performance and query execution.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Ensure data security and compliance with relevant data protection regulations.
• Monitor and troubleshoot data-related issues and provide timely resolutions.
• Document data engineering processes, architectures, and workflows.

Qualifications:

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred Skills:

• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of data governance and data privacy regulations.
• Certification in data engineering or related fields.