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Ingeniero de Datos at Metova

, , Peru -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Tools, SQL, NoSQL, Python, Java, Cloud Platforms, AWS, Azure, Google Cloud, Data Quality, Data Security, Microservices, Containerization, Data Visualization, Real-Time Data Processing

Industry

IT Services and IT Consulting

Description

UNLEASH YOUR POTENTIAL WITH US: We promote a flexible and positive work environment, allowing you the autonomy to build exceptional software solutions for our clients while contributing to a team of industry-leading innovators. If you are passionate about data engineering and ready to make a significant impact, we want to hear from you! YOUR ROLE: We are looking for a skilled Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines and architectures. You will collaborate with cross-functional teams to ensure that our data is accurate, accessible, and actionable, helping our clients leverage their data for better decision-making. KEY RESPONSIBILITIES: Design, develop, and maintain data pipeline architectures. Optimize data ingestion, storage, and processing workflows. Collaborate with data scientists and analysts to understand data needs and convert requirements into technical specifications. Ensure data quality and integrity throughout the data lifecycle. Implement data security and compliance measures. Monitor and troubleshoot data systems performance issues. Stay up-to-date with industry trends, technologies, and best practices in data engineering. Requirements 5+ years of experience in Data Engineering or a similar role. Strong knowledge of ETL tools and databases (SQL and NoSQL). Proficiency in programming languages such as Python and/or Java. Experience working with cloud platforms such as AWS, Azure, or Google Cloud. Proven ability to design and build scalable data management systems. Strong focus on data quality, reliability, and continuous improvement. Excellent written and verbal communication skills. Nice to Have Experience with microservices architectures and containerization tools (Docker, Kubernetes). Knowledge of data visualization tools such as Tableau or Power BI. Experience with real-time data processing technologies (Apache Kafka, Apache Spark). .

Responsibilities

The Data Engineer will design, implement, and maintain data pipelines and architectures. They will collaborate with cross-functional teams to ensure data accuracy and accessibility for better decision-making.