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GCP Data Engineer - freelance

3 weeks, 1 day ago
Poland
Freelance
Mid Level
Data Engineer
DevOps and Infrastructure
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 17

Description

  • Design, model, and develop the client’s GCP data ecosystem using services such as Cloud Storage, Cloud Functions, and BigQuery.
  • Gather, analyze, model, and document business and technical requirements in direct collaboration with clients.
  • Model data from diverse sources and technologies to support new features and functionality.
  • Design and optimize data storage architectures, including data lakes, warehouses, and distributed file systems.
  • Improve data performance through partitioning, compression, indexing, query tuning, and caching strategies.
  • Monitor system performance, troubleshoot data processing and infrastructure issues, and conduct root cause analysis.
  • Support high-impact data engineering problems and maintain reliable data operations.
  • Train and mentor less experienced data engineers through guidance and knowledge transfer.

Requirements

  • At least 4 years of experience as a Data Engineer working with GCP cloud 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, including BigQuery, and NoSQL database management systems.
  • Programming skills in SQL, Python, or other scripting languages.
  • Experience with data modeling, query optimization, indexing, and performance tuning.
  • Knowledge of orchestration and scheduling tools; Airflow is required.
  • Experience with ETL/ELT, data integration, and modern transformation tools such as dbt or Dataform.
  • Strong communication and client-facing skills, including explaining technical concepts to nontechnical stakeholders.
  • Experience with Git, Jira, Confluence, multinational environments, and distributed teams.
  • Preferred: cloud or big data certifications, BI tools, Talend or Alteryx, Apache Spark, Databricks, or Azure.

Interested in this position?

Apply directly on the company website

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