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Data Engineer- GCP

4 weeks, 1 day ago
Mexico
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Apache Spark Azure Confluence Databricks dbt GCP Git JIRA Looker Power BI Python SQL Tableau
Apply Now
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5K-10K
Founded 2008
View All Jobs 62

Description

  • Design, model, and develop the client’s end-to-end GCP data ecosystem.
  • Gather, analyze, model, and document business and technical requirements.
  • Work directly with clients to discuss needs and improvement opportunities.
  • Model data from multiple sources and technologies.
  • Design and optimize data storage architectures such as data lakes, data warehouses, and distributed file systems.
  • Implement storage and retrieval optimizations such as partitioning, compression, and indexing.
  • Troubleshoot and resolve complex, high-impact data and infrastructure issues.
  • Tune queries, implement caching strategies, and improve overall data retrieval performance.
  • Monitor system performance, investigate anomalies, and perform root cause analysis.
  • Train and mentor less experienced data engineers and support knowledge transfer.

Requirements

  • 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.
  • Extensive experience designing, building, and deploying cloud data pipelines to ingest data from databases, APIs, or streaming platforms.
  • Strong database management experience with SQL, including BigQuery, and NoSQL.
  • Programming skills in SQL, Python, and other scripting languages.
  • Experience with data modeling techniques and database optimization.
  • Knowledge of query optimization, indexing, and performance tuning for efficient data retrieval and processing.
  • Experience with at least one orchestration and scheduling tool, with Airflow required.
  • Experience with ETL and ELT data integration approaches.
  • Knowledge of modern data transformation tools such as DBT or Dataform.
  • Excellent communication skills for working with cross-functional teams and non-technical stakeholders.
  • Ability to actively participate in or lead client discussions about improvement opportunities.
  • Experience with Git, Jira, Confluence, or similar collaboration tools.
  • Open to learning new technologies and solutions.
  • Experience working in multinational environments and distributed teams.
  • Certifications in big data technologies or cloud platforms are a plus.
  • Experience with BI solutions such as Looker, Power BI, or Tableau is a plus.
  • Experience with ETL tools such as Talend or Alteryx is a plus.
  • Experience with Apache Spark, especially in a GCP environment, is a plus.
  • Experience with Databricks is a plus.
  • Experience with Azure cloud-based infrastructure and systems is a plus.

Benefits

  • Remote full-time position.
  • Compensation listed as $1 - $1 a month.

Interested in this position?

Apply directly on the company website

Apply Now

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