Big Data Engineer With GCP
Mexico City, Mexico
Lingaro /
Payroll /
Remote
Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.
Responsabilities
- Ensure that all code, scripts, and configurations conform to established engagement standards.
- Confirm the availability of essential documentation and gain a comprehensive understanding of the new product introduced by the client.
- Proactively collect updates from the support team regarding incidents, service requests, and change requests during daily cadence meetings.
- Conduct meticulous technical investigations to determine root causes and deliver effective resolutions for all raised issues.
- Participate in technical consultations, providing valuable insights and expertise for ongoing and upcoming projects.
- Thoroughly assess estimations provided by Enhancement teams.
- Demonstrate the ability to autonomously lead delivery teams without offshore/onshore peers.
- Possess strong analytical and problem-solving skills, along with the capability to identify the most suitable solutions to technical challenges.
- Engineer IT solutions based on appropriate models.
Requirements
- Proficient understanding of Data Lake architecture principles and their implementation within the GCP ecosystem.
- Hands-on experience with SQL and Talend.
- Demonstrated strength in analytical thinking.
- Outstanding communication and presentation abilities.
- Ability to collaborate effectively with the support team to resolve intricate issues.
- Propose improvement ideas and develop proof of concepts (POCs) for initiatives such as automatic data validation.
- Possess a keen awareness of processes to serve as a stand-in for BI Leads, effectively acting as Service Level Managers (SLMs) for specific applications.
- Proven experience in stakeholder management and collaboration with other leaders to drive key initiatives and data strategies.
