Data Integration Engineer Principiante Avanzado

About the Position

We are looking for a Data Integration Engineer Principiante Avanzado to join our team. If you enjoy reinventing yourself, solving problems with new strategies, and working on innovative technology and business projects, apply now!

About the Company

We are Inetum, a European leader in digital solutions. With a team of over 28,000 consultants and experts, we strive every day to achieve our purpose: to bring digital impact to companies, faster, easier, and for the benefit of all people.

At Inetum, we support our employees on their path to success. If you like to reinvent yourself and solve problems with new strategies, work on innovative technology and business projects, apply now!

Responsibilities

• Analysis and development of data ingestion and transformation flows in Lake House using Cloud services.
• Analysis and development using distributed processing in Spark using PySpark/Spark in batch (mandatory) and real-time (desirable).
• Optimization of processes to be developed or existing with a focus on cost reduction (processing time, cluster usage, and Azure services) in cloud service consumption.
• Analysis and scheduling of processes according to criteria defined by users.
• Deployment of solutions in production using integration and continuous deployment tools (DevSecOps).
• Development of cross-cutting solutions for the continuous improvement of the development and deployment framework of solutions.
• Development of best practices, frameworks, and development standards on Cloud platforms.

Requirements

• Experience of 3 or more years in implementing cloud solutions with the required technologies, having performed the following activities:
  • Analysis and development of data ingestion and transformation flows in Lake House using Cloud services.
  • Analysis and development using distributed processing in Spark using PySpark/Spark in batch (mandatory) and real-time (desirable).
  • Optimization of processes to be developed or existing with a focus on cost reduction (processing time, cluster usage, and Azure services) in cloud service consumption.
  • Analysis and scheduling of processes according to criteria defined by users.
  • Deployment of solutions in production using integration and continuous deployment tools (DevSecOps).
  • Development of cross-cutting solutions for the continuous improvement of the development and deployment framework of solutions.
  • Development of best practices, frameworks, and development standards on Cloud platforms.
• Experience of 3 or more years working in at least 2 of the following Cloud projects:
  • Analyzing and processing large volumes of data.
  • Building data pipelines, ETL, ELT.
  • Deploying scalable solutions in production, preferably in banking entities.
  • Migration of processes to Cloud platforms.
  • Optimization of processes using distributed processing.
• Agile methodology (in projects).

Nice to Have

• Certifications: Databricks Certified Associate Developer for Apache Spark (desirable), Azure Data Engineer Associate, and Data Engineer Professional (desirable).

We Offer

• Opportunity to work in a dynamic and innovative environment.
• Professional growth and development opportunities.
• Competitive benefits package.

Contact Information

Published by: KATTI LILIANA MEZA MISAICO

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