Senior Data Engineer, SQL, Informatica

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

📋 Description

• Acquire, curate, and publish data both on-premises and in the cloud for analytical and operational purposes.

• Ensure that data is prepared for utilization, establishing a single version of truth across all data consumers.

• Convert business analytic requests and specifications into design, development, testing, deployment, and production maintenance tasks.

• Provide consultation on data projects and spearhead the design, development, and implementation of data products.

• Adhere to code management practices and integrate with architectural and data governance guidelines.

• Generate data building blocks, data models, and data flows for reporting, dashboards, data feeds, and data science research.

• Develop access methods for business users to structured and unstructured data.

• Utilize common data models, natural language processing, data transformation, AI, statistical computations, and data validation techniques.

• Convert business data narratives into technical work breakdown structures and estimates for timelines or agile sprints.

• Create and sustain scalable streaming and batch data pipelines.

• Construct API integrations to accommodate increased data volume and complexity.

• Prepare and cleanse data for downstream reporting using visualization or AI/ML tools.

• Formulate data project plans and carry out projects independently.

• Offer coaching to junior associates as necessary.

• Carry out additional responsibilities as assigned.

⛳️ Requirements

• High School Diploma or equivalent is required.

• A Bachelor's degree is preferred.

• 5-7 years of relevant experience is required.

• Valid local legal authorization to work in the country where the role is based at the time of hire.

• FBS does not sponsor or obtain work authorization unless explicitly stated.

• Capability to acquire, curate, and publish data on-premises and in the cloud.

• Proficiency in SQL and Informatica, as specified by the job title.

• Ability to work with big data, relational and non-relational databases, cloud environments, programming languages, and reporting tools.

• Understanding of data governance concepts.

• Skill in developing and maintaining scalable streaming and batch data pipelines.

• Competence in building API integrations.

• Proficiency in data preparation and cleansing for reporting and AI/ML tools.

• Capability to operate a computer for extended periods and perform the specified physical activities.

🏝️ Benefits

• Competitive salary opportunities.

• Performance-based bonuses.

• Comprehensive benefits.

• Ongoing training and development resources.

• Support for work-life balance.

• Wellbeing and growth support.