GCP Data Engineer - freelance

About the Position

GCP Data Engineer - Freelance

Poland

CC Data Engineering & Management – Data E&M - KK /

Freelance /

Remote

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right - including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

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Responsibilities

• Design, model, and develop the entire GCP data ecosystem for one of our clients (Cloud Storage, Cloud Functions, BigQuery).
• Gather, analyze, model, and document business/technical requirements. The role will include direct contact with clients.
• Model data from various sources and technologies. Troubleshoot and support the most complex and high-impact problems to deliver new features and functionalities.
• Design and optimize data storage architectures, including data lakes, data warehouses, or distributed file systems. Implement techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identify and resolve bottlenecks, tune queries, and implement caching strategies to enhance data retrieval speed and overall system efficiency.
• Identify and resolve issues related to data processing, storage, or infrastructure. Monitor system performance, identify anomalies, and conduct root cause analysis to ensure smooth and uninterrupted data operations.
• Train and mentor less experienced data engineers, providing guidance and knowledge transfer.

Requirements

Must have:

• 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 in designing, building, and deploying data pipelines in the cloud, to ingest data from various sources like databases, APIs, or streaming platforms.
• Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
• Programming skills (SQL, Python, other scripting).
• Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
• 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. Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
• Knowledge of modern data transformation tools (such as DBT, Dataform).
• Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.
• 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.

Good to have:

• Certifications in big data technologies or/and 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.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

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 can be found here - Candidate Privacy Notice, Lingaro.

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