Description
Job Summary:
We are seeking a Mid-Level Data Engineer with comprehensive experience in database administration, data architecture, ETL/ELT processes, and Business Intelligence to manage data solutions and transform technical information into actionable tools for decision-making.
Key Highlights:
1. Production database administration and optimization
2. Analytical data architecture design and development
3. Implementation of data security and quality mechanisms
**Expande Talento** is currently searching for a **Mid-Level Data Engineer** for our client, a technology and financial services company.
We seek a professional with comprehensive experience in **database administration (DBA), data architecture and modeling, ETL/ELT processes, and Business Intelligence**, capable of managing end-to-end data solutions and transforming technical information into practical tools for decision-making.
WHAT WILL YOU DO?
* Administer and optimize production databases, including **backups, query tuning, T\-SQL, and performance monitoring**.
* Design and develop analytical data architecture, including **dimensional modeling, Data Marts, and Data Warehouse**.
* Build and maintain automated data integration pipelines (**ETL/ELT**) between the transactional platform and the analytical environment.
* Implement and automate business dashboards and KPIs using **Business Intelligence** tools, primarily Power BI.
* Ensure integrity, consistency, and quality of data migrated from the transactional platform to the analytical environment.
* Implement **data encryption, sensitive data masking, and access control (RBAC)** mechanisms.
* Manage **backup, recovery, and periodic restoration testing** strategy.
* Coordinate with **Cloud Architecture and SRE** teams on aspects related to continuity, availability, and database operations.
* Gather information requirements from departments such as **Operations, AML, and Treasury**, translating business needs into actionable reports, KPIs, and dashboards.
* Document processes, data models, integration flows, and implemented solutions.
* Contribute to defining and applying **data governance and data quality** standards.
REQUIREMENTS
* Professional with a **degree, bachelor's, or master's qualification** in Systems Engineering, Computer Science, or related fields.
* **Minimum 3 years of experience** combining Database Administration (DBA) and Business Intelligence (BI) responsibilities.
* Experience administering **SQL Server and/or Azure SQL**.
* Advanced **T\-SQL proficiency**, including queries, stored procedures, and performance optimization.
* Knowledge of other relational and/or NoSQL engines, such as **PostgreSQL**.
* Experience in **relational and dimensional data modeling**.
* Experience with ETL/ELT tools such as **Python, Talend, Azure Data Factory, or equivalents**.
* Experience developing dashboards and KPIs using **Power BI, Looker Studio, Tableau, or similar tools**.
* Knowledge of **data security, encryption, masking, and access control**.
* Knowledge of **backup, recovery, continuity, and Disaster Recovery (DR)**.
* Familiarity with **Azure Cloud**, especially Azure SQL Managed Instance, Storage, and Data Factory.
* Scripting skills in **Python and/or PowerShell**.
* Understanding of standards or controls related to **ISO 27001 and/or PCI\-DSS**.
* Knowledge of **data governance and data quality**.
* Experience using **Jira, Confluence, and Agile methodologies**.
* **Intermediate English**, primarily for reading technical documentation.
ADDITIONAL ASSETS
* Familiarity with **fintech** environments and/or regulated entities.
* Knowledge of processes and data related to **AML/KYC**.
* **Power BI** and/or **Microsoft DP\-300** certification.
* Experience with **Azure Synapse Analytics** or cloud-based analytical storage solutions.
* Knowledge of **Kubernetes and containers**.
* Experience with automation and **AI-powered tools for data analysis**.
* Best practices in visualization and **data storytelling**.
* Basic knowledge of **Terraform and Infrastructure as Code (IaC)**.
* Experience with real-time data architectures and **streaming**.
* Understanding of **financial KPIs, AML, Treasury, and/or Commercial** metrics.
* Proficiency in **Git and version control for data models**.
CONDITIONS
Full-time employment contract \+ 100% EPS coverage
* **Work modality:** Hybrid
* **Working hours:** Monday to Friday, 8:00 a.m. to 5:00 p.m.
* **Work location:** San Isidro, Lima, Peru
Salary: S/.1\.00 \- S/.2\.00 per month
Application question(s):
* Apply by completing the following link: https://docs.google.com/forms/d/e/1FAIpQLSdf\-EybKr4uDgWloBArEEJpCoEMImdlf\-t4P8SaLaStzZSLTg/viewform?usp\=dialog
Work location: On-site employment