Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.
About the role
- Data Engineer role focusing on building reliable data pipelines and architectures. Collaborate to ensure high-quality data availability for analytics, BI, and AI initiatives.
Responsibilities
- Design, implement and maintain reliable, scalable and secure data pipelines.
- Ensure ingestion, transformation and provisioning of data from multiple sources.
- Define and maintain data architectures focused on Analytics, BI and AI.
- Ensure data quality, consistency, governance and traceability.
- Design and provide analytical data models for consumption in BI tools.
- Develop dashboards, reports and strategic metrics using Power BI.
- Ensure adherence to data visualization best practices and report performance.
- Optimize performance and costs of data solutions in on-premises and cloud environments.
- Support BI, Analytics, AI and business teams in efficient use of data and dashboards.
- Produce technical documentation and evidence of delivered work.
- Meet deadlines, targets and contractual obligations.
- Develop and maintain data ingestion, transformation and load pipelines.
- Design and maintain analytical structures for BI, reporting and dashboards.
- Create and maintain interactive dashboards, management reports and KPIs in Power BI.
- Define metrics, KPIs and semantic layers for data consumption.
- Prepare and provide reliable data for advanced analytics and AI models.
- Optimize queries, processes and data storage structures.
- Implement data validation, quality and governance routines.
- Integrate data from multiple sources and business domains.
- Automate data pipelines and reports through CI/CD.
- Monitor data environments and dashboards, acting proactively to resolve issues.
- Maintain technical documentation, data catalogs and contractual evidence.
- Work collaboratively with BI, AI, development and business teams.
Requirements
- Solid experience in Data Engineering.
- Advanced knowledge of Microsoft SQL Server (2022 or later) and T-SQL.
- Experience in analytical data modeling (Data Warehouse, Data Mart, dimensional models).
- Experience with ETL/ELT processes and data pipelines.
- Knowledge of Microsoft data tools and services (Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL).
- Experience integrating and ingesting data from transactional systems, APIs and files.
- Hands-on experience creating dashboards and reports in Power BI.
- Knowledge of DAX, Power Query and semantic modeling.
- Familiarity with data preparation for AI and Machine Learning projects.
- Experience with version control, automation and CI/CD for data.
- Knowledge of data security, governance and access control.
- Ability to work in high-volume data and high-availability environments.
- Bachelor's degree in one of the following areas: Systems Analysis, Computer Science, Data Processing, Information Systems, Informatics, Computer Engineering or other Information Technology fields; or a university degree in any area plus a specialization in Information Technology.
Benefits
- Health Insurance
- Dental Insurance
- Prudential Insurance: the employee is provided, free of charge, with life insurance, funeral assistance and a newborn/maternity basket, according to the insurer's specific rules
- Meal Voucher or Food Voucher
- Transportation Voucher (optional): provided for commuting between home and work; 6% of the salary will be deducted monthly, limited to the benefit value
- Birthday day off: the employee is granted a day off on their birthday, to be taken on the same date and/or within the birthday month
- Wellhub
- Agreements and Partnerships (educational institutions, gyms, language schools, among others)
- Workplace exercise sessions
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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