Data Engineer GCP Mexico

Posted Yesterday
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Hiring Remotely in México
Remote
Mid level
Information Technology • Software • Business Intelligence
The Role
Designs, builds, deploys, and optimizes cloud-based data pipelines on GCP. Integrates data from databases, APIs, and streaming platforms using ETL and ELT processes; manages BigQuery and NoSQL databases; performs data modeling and query optimization; and uses Airflow and modern transformation tools. Collaborates with data scientists, analysts, clients, and business stakeholders in distributed multinational teams.
Summary Generated by Built In
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.

Skills Required

  • At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure and systems
  • Deep knowledge of Google Cloud Platform and cloud computing services
  • Experience designing, building, and deploying cloud data pipelines from databases, APIs, and streaming platforms
  • Proficiency with SQL, BigQuery, and NoSQL database management systems
  • Programming skills in SQL, Python, and other scripting languages
  • Experience with data modeling, query optimization, indexing, and performance tuning
  • Knowledge of an orchestration and scheduling tool; Airflow is required
  • Experience with ETL and ELT data integration techniques
  • Knowledge of modern data transformation tools such as dbt or Dataform
  • Excellent communication skills with cross-functional teams and non-technical stakeholders
  • Ability to participate in or lead client discussions to identify improvement opportunities
  • Knowledge of Git, Jira, and Confluence
  • Experience in multinational environments and distributed teams
  • Certifications in big data technologies or cloud platforms
  • Experience with BI solutions such as Looker, Power BI, or Tableau
  • Experience with ETL tools such as Talend or Alteryx
  • Experience with Apache Spark in a GCP environment
  • Experience with Databricks
  • Experience with Azure cloud-based infrastructure and systems
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The Company
HQ: Warsaw
1,340 Employees
Year Founded: 2008

What We Do

You’ve got the data — now what’s next? Many businesses are overwhelmed by data and struggle to turn it into real business impact. At Lingaro, we empower global brands and companies to achieve more with data. From strategy development to scalable solutions, we guide you every step of the way. We transform raw data into actionable insights with deep tech expertise, sharp business sense, and a user-centric mindset. Rooted in Europe and operating worldwide, we deliver with agility, a fresh perspective, and a proven track record. Join 75+ leading CPG companies across 30+ countries that have already transformed their business with Lingaro. Be data ready. Be business ready. Be future ready. Contact us at https://lingarogroup.com/contact_us to get started. Want to know more? Check our recognitions & awards below. 🏆 Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment 🏆 Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG 🏆 Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports 🏆 Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment 🏆 Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives 🏆 Great Place to Work® in Poland, the Philippines, and India in 2024

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