Analytics Ops Data & Analytics | Data Foundations | D&A Ops - Lisbon, Oporto Lisboa

Overview

Make an impact by working for sectors where technology is the enabler, everything is
- breaking and there’s a constant need to be innovative.

Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and
- how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

About the role

Data Ops is a collaborative approach that combines data engineering, data quality, and Dev
Ops practices to streamline and automate the entire data lifecycle. The mission of a Data
Ops professional is to establish efficient processes and frameworks for data ingestion, integration, transformation, and delivery. They focus on optimizing data workflows, ensuring data quality and governance, and facilitating
- functional collaboration between data teams and other stakeholders.

Responsibilities

• Setting up and maintaining the infrastructure necessary for data analytics, including servers, databases, and cloud services;
• Monitor the performance of the analytics infrastructure and tools, identifying and resolving issues as they arise;
• Automate processes wherever possible, including data processing onboarding and pipeline orchestrations;
• Create and maintain documentation on the analytics infrastructure and tools, including policies, procedures, and best practices.

What are we looking for?

• Availability to work outside regular hours (24/7 support);
• Proficiency in GCP;
• ETL Tools & Processes: Hands-on experience with ETL tools such as Talend, including designing and managing ETL workflows;
• Data Management: Strong understanding of Oracle and Big
  Query technologies for data storage and retrieval;
• Data Reporting: Familiarity with reporting tools such as Looker, At
  Scale, Business Objects or Qlik
  Sense;
• Operating Systems: Competence in Linux/UNIX environments;
• Scheduling Tools: Experience with scheduling tools to automate and optimize workflows;
• Domain Knowledge: Insights into business operations, particularly in the Telecommunications sector;
• Infrastructure Knowledge: Understanding of complex,
  - scale infrastructure systems;
• Programming Skills: Solid programming logic and proficiency in SQL, Python, or Scala;
• CI/CD Processes: Familiarity with Continuous Integration and Continuous Deployment pipelines using tools like GIT.

Personal traits

• Ability to adapt to different contexts, teams and Clients
• Teamwork skills but also sense of autonomy
• Motivation for international projects and ok if travel is included
• Willingness to collaborate with other players
• Strong communication skills

We want people who like to roll up their sleeves and open their minds. Believe this is you? Come join the Team!