GCP Data Engineer – Freelance
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Job Description
GCP Data Engineer designing and optimizing GCP data ecosystems for client projects. Building pipelines, data architectures, and solutions using BigQuery, Airflow, SQL, and Python.
Responsibilities:
- Design, model, and develop a complete GCP data ecosystem for a client using Cloud Storage, Cloud Functions, and BigQuery
- Gather, analyze, model, and document business and technical requirements
- Maintain direct contact with clients
- Model data from various sources and technologies
- Troubleshoot and support complex, high-impact problems while delivering new features and functionality
- Design and optimize data storage architectures, including data lakes, data warehouses, and distributed file systems
- Implement partitioning, compression, indexing, query tuning, and caching strategies to improve data storage and retrieval
- Identify and resolve data processing, storage, and infrastructure issues
- Monitor system performance, identify anomalies, and conduct root-cause analysis
- Train and mentor less experienced data engineers
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
- Extensive experience designing, building, and deploying cloud data pipelines ingesting data from databases, APIs, or streaming platforms
- Proficiency in SQL, BigQuery, NoSQL, Python, and other scripting
- Proficiency in data modeling, query optimization, indexing, and performance tuning
- Knowledge of at least one orchestration and scheduling tool; Airflow is required
- Experience with ETL and ELT data integration techniques
- Knowledge of modern data transformation tools such as DBT and Dataform
- Excellent communication skills and ability to collaborate with data scientists, analysts, and business stakeholders
- Ability to participate in or lead client discussions to identify improvement opportunities
- Knowledge of Git, Jira, and Confluence
- Openness to learning new technologies and solutions
- Experience in multinational environments and distributed teams
- Certifications in big data technologies or cloud platforms preferred
- Experience with BI solutions such as Looker, Power BI, or Tableau preferred
- Experience with Talend or Alteryx preferred
- Experience with Apache Spark, Databricks, or Azure preferred
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