This is a fully remote position, open to applicants in Mexico.

• Create, construct, and implement cloud-based data pipelines.

• Acquire data from databases, APIs, and streaming services.

• Design, set up, and oversee databases to ensure optimal performance and reliability.

• Integrate and transform data from various sources for analytical purposes using ETL and ELT methodologies.

• Utilize data modeling, query optimization, indexing, and performance enhancement techniques.

• Collaborate with data scientists, analysts, business stakeholders, and clients.

• Engage in or lead client discussions to pinpoint specific improvement opportunities.

• Work with international and distributed teams.

• Stay updated with and implement new technologies and solutions.

• Minimum of 4 years of experience as a Data Engineer with a focus on GCP cloud-based infrastructure and systems.

• Comprehensive understanding of Google Cloud Platform and cloud computing services.

• Significant experience in designing, building, and deploying cloud data pipelines that ingest data from databases, APIs, or streaming platforms.

• Proficiency in database management systems, including SQL (BigQuery is necessary) and NoSQL.

• Programming skills in SQL, Python, and other scripting languages.

• Expertise in data modeling and database optimization, covering query optimization, indexing, and performance tuning.

• Familiarity with at least one orchestration and scheduling tool; Airflow is essential.

• Experience with ETL and ELT data integration methodologies.

• Knowledge of contemporary data transformation tools such as dbt and Dataform.

• Capability to collaborate effectively with data scientists, analysts, and business stakeholders, clearly explaining technical concepts.

• Ability to engage in or lead client discussions to identify opportunities for improvement.

• Familiarity with Git, Jira, Confluence, and similar collaboration tools.

• Experience in multinational environments and with distributed teams.

• Certifications in big data technologies or cloud platforms are preferred.

• Familiarity with BI solutions like Looker, Power BI, or Tableau is preferred.

• Experience with ETL tools such as Talend or Alteryx is preferred.

• Experience with Apache Spark, particularly in GCP environments, is preferred.

• Experience with Databricks is preferred.

• Experience with Azure cloud-based infrastructure and systems is preferred.

• Full-time employment.

• Remote work arrangement.

Data Engineer – GCP

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