Feeny
Lingaro

Data Engineer GCP Mexico at Lingaro (Mexico)

Lingaro· Mexico·

Role details

Work type
Remote
Employment
Full-Time

Job description

Must have:

  • At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
  • Deep knowledge of Google Cloud Platform and cloud computing services.
  • Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms.
  • Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
  • Programming skills (SQL, Python, other scripting).
  • Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
  • Knowledge of at least one orchestration and scheduling tool (Airflow is a must).
  • Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
  • Knowledge of modern data transformation tools (such as DBT, Dataform).
  • Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.
  • Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement.
  • Tools knowledge: Git, Jira, Confluence, etc.
  • Open to learn new technologies and solutions.
  • Experience in multinational environment and distributed teams. Good to have:
  • Certifications in big data technologies or/and cloud platforms.
  • Experience with BI solutions (e.g. Looker, Power BI, Tableau).
  • Experience with ETL tools: e.g. Talend, Alteryx
  • Experience with Apache Spark, especially in GCP environment.
  • Experience with Databricks.
  • Experience with Azure cloud-based infrastructure & systems.

Why work at Lingaro

  • Culture: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024.
  • Work environment: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”).
  • Growth & learning: Strong focus on learning technology and adoption – internal training programs and career development.
  • Global team: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients.
  • Engineering culture: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks.
  • Employee rating: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7.

Application questions