GCP Data Engineer

Lingaro Group Philippines; Manila; Hybrid; PHP 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Office as an option

Flexible hours

Learning & development platform access

Job summary

Lingaro Group Philippines is seeking a Data Engineer to design, build, and optimize data pipelines on Google Cloud Platform, including BigQuery, data lakes, and data warehouses. You will work closely with clients to gather requirements, model data, implement ETL/ELT processes, and ensure scalable, high-performance data storage and retrieval.

You will mentor junior engineers and collaborate with cross-functional teams to deliver impactful insights.

Qualifications

• 4+ years of experience as a Data Engineer with GCP cloud infrastructure.
• Deep knowledge of Google Cloud Platform services including BigQuery.

Responsibilities

• Design, model and develop the GCP data ecosystem for a client project.
• Involve from requirements gathering through to delivery and documentation.
• Model data from multiple sources and optimize storage and retrieval architectures.
• Troubleshoot complex data problems and implement new features and capabilities.
• Mentor less experienced data engineers and share knowledge.

Skills

GCP

SQL

Python

Data modeling

ETL/ELT

Airflow

Databricks

BigQuery

BI tools

Tools

Git

Jira

Confluence

DBT

Dataform

Job description

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.

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.

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 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.

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 offer:

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation. Enjoy working from inspiring locations in line with our workation policy.
• Great Place to Work® certified employer.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.