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Lingaro

Data Engineer GCP Mexico

Lingaro Mexico

IT Services and IT Consulting · 1,001-5,000 employees

Sep 09
Remote data-engineer Mid (2-5 yrs) Full-time Mexico
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About the role

Design, build, and deploy data pipelines in the cloud to ingest and transform data from various sources. Collaborate with cross-functional teams and stakeholders to identify improvement opportunities and ensure optimal database performance.

What they look for

Google Cloud Platform Data Engineering SQL BigQuery Python Airflow ETL ELT Data Modeling Database Management Git Jira Confluence Data Pipelines NoSQL Cloud Computing

Requirements

Requires at least 4 years of experience as a Data Engineer with GCP infrastructure and proficiency in SQL, Python, and orchestration tools like Airflow. Candidates must have strong data modeling skills and experience in managing cloud-based database systems.

Full 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.

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