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Data Engineer GCP Mexico

Lingaro·Salary not specified

Primary stack

BigQueryPythonAirflowETLSQL

Nice to have's

certifications in big data technologiesLookerPower BITableauTalendAlteryxApache SparkDatabricksAzure

Job description

About the Position

We are seeking a skilled Data Engineer GCP Mexico with expertise in Google Cloud Platform and data pipeline management to join our team. This role is full-time and remote.

Responsibilities

  • Design, build, and deploy data pipelines in the cloud to ingest data from various sources.
  • Manage databases to ensure optimal performance and reliability.
  • Integrate data from multiple sources and transform it into a format suitable for analysis.
  • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.

Requirements

  • 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.
  • Proficient in SQL (Big Query is a must), NoSQL, and database management systems.
  • Proficient in data modeling techniques and database optimization.
  • Knowledge of query optimization, indexing, and performance tuning.
  • 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.
  • Knowledge of modern data transformation tools (such as DBT, Dataform).
  • Excellent communication skills to effectively collaborate with cross-functional teams.
  • 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 learning new technologies and solutions.
  • Experience in a multinational environment and distributed teams.

Nice to Have

  • Certifications in big data technologies or 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.

We Offer

  • Opportunity to work with cutting-edge technologies.
  • Collaborative and innovative work environment.
  • Professional growth and development opportunities.

About the Company

Lingaro is a leading company in the industry, committed to leveraging technology to drive success. We value innovation, collaboration, and continuous learning.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. More information about how your data is processed you can find here - Candidate Privacy Notice, Lingaro

Apply for this job and join our team!

© Lingaro. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Lingaro

Consumer Goods,Healthcare and Biotech

About the Company Lingaro is a global end-to-end data and AI partner to leading brands and enterprises. The company specializes in transforming data into opportunities that drive business outcomes. With deep technical expertise and business knowledge, Lingaro bridges technology, commercial insight, and cross-industry expertise. The company leverages partnerships with leading hyperscalers to deliver data and AI solutions for real business problems. Products, Services & Tech Stack Core Solutions Marketing & Commercial Analytics Intelligent & Resilient Supply Chain Sustainability & Compliance AI & GenAI Data Consulting Technology Consulting & Advisory Design Adoption Technologies & Frameworks No specific technologies or frameworks mentioned in the text. Project Scope & Target Clients Client Base Global CPG brands Healthcare and Biotech Consumer Goods Engineering Scale 20+ Tech partnerships 1,800+ Employees worldwide 18+ Years in data & analytics

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