Design, build, and optimize GCP data ecosystems, including pipelines, data lakes, warehouses, storage architectures, and processing infrastructure. Gather requirements, model data, troubleshoot complex issues, tune performance, monitor systems, and support new functionality. Collaborate directly with clients and cross-functional teams, while mentoring junior data engineers and leading technical improvement discussions.
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.
Freelance Cooperation – What Does It Mean?
- Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement.
- Part-time engagement. Work up to 50% of full-time workload, depending on current project needs.
- Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement.
- No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead.
Tasks:
- You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery).
- Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.
- Modelling the data from various sources and technologies. Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities.
- Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
- Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations.
- Train and mentor less experienced data engineers, providing guidance and knowledge transfer.
What We're Looking For:
- At least 8-10 years of experience as a Data Engineer working with 6+ years in GCP cloud-based infrastructure & systems.
- Deep knowledge of Google Cloud Platform and cloud computing services.
- Extensive experience in design, build, and deploy 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 learn new technologies and solutions.
- Experience in 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.
What we offer:
- Established global technology partner. Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.
- Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with our remote work policy.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
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