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Descripción De La Posición

OBJECTIVE:

Join our dynamic team of Data Engineers, collaborating with Data Analysts, Data Scientists, and experts in Data Visualization, Python Scripting, and industry-specific knowledge. Be a key player in implementing end-to-end data solutions that drive impactful results for our clients. We are seeking a detail-oriented individual with a strong analytical mindset, adept at designing and maintaining data architectures, optimizing data workflows, and ensuring data reliability and efficiency. The ideal candidate is enthusiastic about innovation and embraces agile development methodologies.

RESPONSABILITIES:

Collaborate with cross-functional teams, including Data Analysts, Data Scientists, and Data Visualization Experts, to design and implement robust data solutions.

Develop and maintain scalable data architectures, ensuring data integrity, security, and availability.

Optimize data processing workflows for efficiency and performance.

Implement and manage ETL processes to extract, transform, and load data from various sources into our data ecosystem.

Collaborate with stakeholders to understand data requirements and contribute to the design of data models.

Stay abreast of industry trends and best practices in data engineering and apply them to enhance our data capabilities.

Ensure compliance with data governance and security policies..

Requisitos

REQUIREMENTS:

Bachelor's or advanced degree in a relevant field (e.g., Computer Science, Engineering, Information Technology).

Proven experience as a Data Engineer, with expertise in designing and implementing scalable data architectures.

Proficiency in Python scripting and experience with relevant data engineering tools and frameworks.

Strong knowledge of ETL processes and data integration techniques.

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in deploying and managing data solutions in the cloud.

Excellent problem-solving and communication skills.

Ability to work in an agile and collaborative environment.

SKILLSET:

Proficiency in Python scripting for data manipulation, ETL processes, and automation.

Strong SQL skills for querying and manipulating data in relational databases.

Knowledge of Apache Kafka, Apache Airflow, Apache Spark

Google Cloud Platform (GCP): Hands-on experience with cloud services for data storage, processing, and analytics.

Proficient in version control to manage and track changes in code (GIT)

Containerization (Docker): Understanding of containerization for deploying and managing applications.

Familiarity with agile development practices.

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