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
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 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.
- 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.
Must have:
Good to have:
Skills Required
- At least 4 years of experience as a Data Engineer working with GCP
- Deep knowledge of Google Cloud Platform and cloud computing services
- Experience designing, building, and deploying cloud data pipelines (ingest from databases, APIs, streaming)
- Proficient in SQL (BigQuery is a must) and NoSQL databases
- Programming skills in SQL and Python (other scripting)
- Proficient in data modeling techniques and database optimization (query tuning, indexing)
- Knowledge of an orchestration/scheduling tool (Airflow is a must)
- Experience with ETL/ELT and data integration from multiple sources
- Knowledge of modern data transformation tools (DBT, Dataform)
- Excellent communication skills and ability to engage/lead client discussions
- Tools knowledge: Git, Jira, Confluence
- Experience in multinational environments and distributed teams
- Open to learn new technologies and solutions
- Certifications in big data or cloud platforms
- Experience with BI solutions (Looker, Power BI, Tableau)
- Experience with ETL tools (Talend, Alteryx)
- Experience with Apache Spark in GCP environment
- Experience with Databricks
- Experience with Azure cloud-based infrastructure
What We Do
You’ve got the data — now what’s next? Many businesses are overwhelmed by data and struggle to turn it into real business impact. At Lingaro, we empower global brands and companies to achieve more with data. From strategy development to scalable solutions, we guide you every step of the way. We transform raw data into actionable insights with deep tech expertise, sharp business sense, and a user-centric mindset. Rooted in Europe and operating worldwide, we deliver with agility, a fresh perspective, and a proven track record. Join 75+ leading CPG companies across 30+ countries that have already transformed their business with Lingaro. Be data ready. Be business ready. Be future ready. Contact us at https://lingarogroup.com/contact_us to get started. Want to know more? Check our recognitions & awards below. 🏆 Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment 🏆 Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG 🏆 Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports 🏆 Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment 🏆 Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives 🏆 Great Place to Work® in Poland, the Philippines, and India in 2024
