GCP Data Engineer

Lingaro; México; Remote; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Stable employment

Full-time position with contract

Medical Insurance

Remote work bonus

Profit sharing

100% remote

Udemy learning platform access

Charity and environment support

Flexible working hours

Job summary

Lingaro Mexico is seeking an experienced Data Engineer to design, build, and optimize GCP-based data pipelines. You will work with BigQuery, SQL, Python, and modern orchestration tools to ingest data from databases, APIs and streaming sources, collaborating with data scientists and business stakeholders.

You will mentor peers, engage with clients, and contribute to architecture, performance tuning, and data modeling in a multinational, distributed team environment.

Qualifications

• At least 4 years of experience as a Data Engineer with GCP-based infrastructure.
• Deep knowledge of Google Cloud Platform and BigQuery.
• Experience designing, building, and deploying cloud data pipelines.
• SQL and Python programming; data modeling and performance tuning.
• Knowledge of orchestration (Airflow) and data integration (ETL/ELT).
• Experience with modern data tools (DBT, Dataform) and BI tools.
• Strong communication and client-facing collaboration.
• Open to learning and working in distributed teams.

Responsibilities

• Design, build, and deploy data pipelines in GCP to ingest data from databases and APIs.
• Model data and optimize storage architectures (data lakes/warehouses).
• Troubleshoot complex data issues and optimize queries for performance.
• Mentor junior data engineers and collaborate with cross-functional teams.
• Engage with clients to gather requirements and propose data-driven improvements.

Skills

GCP

BigQuery

SQL

Python

Data Modeling

ETL/ELT

Airflow

DBT

Data Integration

Databricks

Apache Spark

Tools

DBT

Dataform

Talend

Alteryx

Looker

Power BI

Tableau

Apache Spark

Databricks

BigQuery

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.

What You'll Be Doing:

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 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.

Open to learn new technologies and solutions.

Experience in multinational environment and distributed teams.

What Will Set You Apart:

• 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.
• Full-time position with work contract.
• Medical Insurance.
• Grocery Coupons.
• Saving fund.
• 30 days of Christmas bonus.
• Remote work bonus.
• Profit sharing.
• 100% remote.
• Flexibility regarding working hours.
• 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.