Data Engineer - Bogota

Yeah! Global; Colombia; Presencial; COP 90.000.000 - 120.000.000; Jornada completa

Descripción de la vacante

A leading data solutions provider in Colombia is seeking a skilled Data Engineer to design, implement, and maintain data pipelines that ensure efficient data flow. The ideal candidate will work closely with data scientists and analysts, optimizing data processes and ensuring data quality. Candidates should possess a bachelor's degree in a relevant field, strong SQL skills, and familiarity with big data technologies. This role offers an exciting opportunity for career growth in a dynamic environment.

Formación

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases.
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with Hadoop, Spark and Kafka.
• Experience with data integration tools (Talend, Apache NiFi).
• Proficiency in Python, Java or Scala; cloud data solutions (AWS/Azure/GCP).
• Strong problem-solving and analytical skills; good communication and teamwork.

Responsabilidades

• Design, develop, and maintain scalable and efficient data pipelines.
• Collaborate with data scientists and analysts to understand data requirements.
• Implement and manage ETL processes to ensure data quality and consistency.
• Implement ETL processes to ensure data quality and consistency.
• Optimize database performance and query execution.
• Collaborate with data scientists and analysts to meet data needs.
• Ensure data security and compliance with data protection regulations.
• Monitor and troubleshoot data-related issues; provide resolutions.
• Document data architectures and workflows.

Conocimientos

SQL proficiency

Data analysis

Problem-solving

Team collaboration

Teamwork

Educación

Bachelor's degree in Computer Science, Information Technology, or a related field

Herramientas

MySQL

PostgreSQL

Hadoop

Spark

Kafka

Talend

Apache NiFi

Python

Java

Scala

AWS

Azure

Google Cloud Platform

GCP

Docker

Kubernetes

Descripción del empleo

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.