Join to apply for the Engenheiro de Dados e Automação PL role at Solo Network
Location: Remote or Hybrid (Solo Network offices)
Contract Model: Cooperado
Area: Sustentação
About the Role
Work in the Technology area, responsible for developing, maintaining, and optimizing data pipelines, automating processes, and supporting financial governance in cloud environments.
Support the construction of data engineering and automation solutions that facilitate analysis and strategic insights, promoting operational and financial efficiency, along with other related activities.
Responsibilities
Develop and maintain ETL/ELT data pipelines for data collection, transformation, and loading between systems and platforms.
Automate data processes using scripts in Python, SQL, CLI, KQL, Shell scripts, and other automation tools.
Create and maintain interactive dashboards using Power BI for data analysis and visualization.
Implement and manage data architectures in cloud and on-premise environments, focusing on Azure, AWS, and Google Cloud.
Implement data storage solutions (data lakes and data warehouses) to facilitate data analysis.
Monitor pipeline performance and optimize processes for better performance.
Document data solutions in detail.
Collaborate with data scientists, analysts, and FinOps teams to ensure alignment with business requirements.
Perform and support billing analysis and cloud consumption control.
Identify and implement cost optimization opportunities in cloud environments.
Have advanced knowledge of ETL/ELT tools and platforms.
Use Power BI to create and maintain dashboards and analytical reports.
Manipulate and analyze data using SQL, Python, CLI, KQL, and Shell scripts.
Implement data and automation solutions according to technical and business requirements.
Manage cloud resources and services.
Monitor and optimize data and cloud service performance.
Work with multidisciplinary teams for continuous solution delivery.
Provide technical support and training on data and cloud best practices.
Skills and Qualifications
Advanced knowledge of ETL/ELT tools and platforms.
Proficiency in Power BI for dashboards and reports.
Advanced SQL, Python, CLI, KQL, Shell scripting skills for data manipulation and analysis.
Business acumen and ability to generate strategic insights from data.
Preferred Qualifications
Knowledge of Azure Cloud automation.
Knowledge of FinOps.
Understanding of pricing, license costs, reservations, and operational strategies for cost optimization.
Experience migrating infrastructure from on-premise to cloud.
Knowledge of cloud services such as VMs, virtual networks, databases, storage, etc.
What We Offer
High-impact projects with major clients in the national market.
Collaborative environment with technical autonomy and protagonism.
Opportunity to participate in shaping data offerings and practices at Solo.
Access to training, certifications, and Microsoft programs.
Participation in technical communities and innovation events.
Experience
Minimum of 2 years in Data Engineering and Automation activities.
Certifications
DP-203: Data Engineering on Microsoft Azure
Google Cloud Professional Data Engineer
Relevant Microsoft certifications: Azure Administrator Associate, Azure Developer Associate, Azure Solutions Architect Expert
Relevant Google certifications: Cloud Engineer, Architect Engineer, DevOps Engineer
FinOps Certified Practitioner (FOCP)
Education
Degree in IT, Computer Science, Software Engineering, Data Science, or related fields.
São José dos Pinhais, Paraná, Brazil
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