GCP Data Engineer – Freelance

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, model, and create a comprehensive GCP data ecosystem for a client utilizing Cloud Storage, Cloud Functions, and BigQuery.

• Collect, analyze, model, and document both business and technical requirements.

• Maintain direct communication with clients.

• Model data from diverse sources and technologies.

• Troubleshoot and provide support for complex, high-impact issues while delivering new features and functionalities.

• Design and optimize data storage architectures, including data lakes, data warehouses, and distributed file systems.

• Implement strategies for partitioning, compression, indexing, query tuning, and caching to enhance data storage and retrieval.

• Identify and resolve issues related to data processing, storage, and infrastructure.

• Monitor system performance, detect anomalies, and perform root-cause analysis.

• Train and mentor less experienced data engineers.

⛳️ Requirements

• Minimum of 4 years of experience as a Data Engineer working with GCP cloud-based infrastructures and systems.

• Profound knowledge of Google Cloud Platform and cloud computing services.

• Extensive experience in designing, building, and deploying cloud data pipelines that ingest data from databases, APIs, or streaming platforms.

• Proficient in SQL, BigQuery, NoSQL, Python, and other scripting languages.

• Skilled in data modeling, query optimization, indexing, and performance tuning.

• Familiarity with at least one orchestration and scheduling tool; Airflow is mandatory.

• Experience with ETL and ELT data integration methodologies.

• Knowledge of contemporary data transformation tools such as DBT and Dataform.

• Exceptional communication skills and the ability to collaborate with data scientists, analysts, and business stakeholders.

• Capability to participate in or lead client discussions to identify areas for improvement.

• Familiarity with Git, Jira, and Confluence.

• Willingness to learn new technologies and solutions.

• Experience in multinational environments and distributed teams.

• Certifications in big data technologies or cloud platforms are preferred.

• Experience with BI solutions such as Looker, Power BI, or Tableau is preferred.

• Experience with Talend or Alteryx is preferred.

• Experience with Apache Spark, Databricks, or Azure is preferred.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and certification.

• Flexible working hours and remote work options.

• Comprehensive health and wellness benefits.

• Collaborative and innovative work environment.