Pessoa Engenheira de Dados Pleno

Pessoa Engenheira De Dados Pleno This role is focused on building and evolving a modern data and analytics ecosystem that supports strategic decision-making across the business. You will work at the intersection of data engineering and business intelligence, designing scalable data pipelines, robust data models, and executive-level dashboards. The position involves handling large and complex datasets, ensuring data quality, governance, and performance across all analytics solutions. You will collaborate closely with cross-functional teams, translating business needs into reliable data products. Beyond technical execution, you will contribute to architecture decisions and best practices, helping shape the organization's data maturity. This is a highly collaborative environment where analytical thinking, autonomy, and continuous improvement are strongly valued. Accountabilities: Develop and maintain ETL/ELT pipelines integrating data from multiple systems and sources Design and structure analytical data models optimized for reporting and BI consumption (Power BI and related tools) Build scalable, high-performance data models using dimensional modeling techniques (Star Schema, Snowflake) Create dashboards, KPIs, and executive reporting frameworks to support business decision-making Investigate and resolve data quality issues, inconsistencies, and pipeline failures through root cause analysis Work with large datasets and optimize queries and data workflows for performance and reliability Develop data transformations using SQL, Power Query, and Python when needed Contribute to semantic layer modeling and analytics architecture (including Azure Analysis Services when applicable) Participate in defining data architecture standards, governance practices, and modeling guidelines Document data pipelines, business rules, and analytical models to ensure clarity and maintainability Collaborate with multidisciplinary teams in strategic analytics and BI initiatives Support and mentor junior professionals, sharing technical knowledge and best practices Requirements: Solid experience in Data Engineering and Business Intelligence roles Advanced SQL knowledge and strong experience with data manipulation and querying Experience building and maintaining ETL/ELT pipelines Knowledge of infrastructure deployment using Terraform Strong understanding of dimensional modeling (Star Schema and Snowflake) Hands-on experience with Power BI and dashboard development Experience with Power Query for data transformation Proficiency in Python for data processing and automation Experience with Git for version control Knowledge of Data Warehouse architecture and large-scale data environments Strong analytical and troubleshooting skills for data pipelines and systems Ability to document technical and functional processes clearly Strong communication skills and ability to work with both technical and business stakeholders Proactive mindset with ability to propose improvements in tools, architecture, and processes Bachelor's degree completed (all fields accepted) Benefits: Flexible benefits package adaptable to your lifestyle and needs Health and dental insurance coverage Life insurance Pet insurance assistance Mobility support (fuel, ride apps, transport options depending on project) Flexible reimbursement program (education, wellness, leisure, and more) Meal or food allowance Birthday day off Gympass access Financial advisory services and facilitated credit options Annual bonus program and referral commissions Parental leave (extended maternity and paternity benefits) Childcare assistance during the first year Discounts and partnerships with retail and pharmacy networks Professional development programs, mentorship, and continuous learning opportunities Structured career growth pathways in a global consulting environment. Jobgether