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Data Engineer II

Indeed
Full-time
Onsite
No experience limit
No degree limit
Fairy Lake - Estr. Dom Pedro Augusto - Alto da Boa Vista, Rio de Janeiro - RJ, 20531-000, Brazil
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Description

Job Summary: Act as a subject-matter expert in data domains, metrics, and tools; identify data quality issues; build controls; and prepare data for modeling. Key Highlights: 1. Act as a Data, Metrics, and Tools Specialist 2. Build technical solutions to acquire, process, and store data 3. Support the advancement of Analytics maturity level **MUCH MORE THAN A STARTUP** We are a scalable hub of financial services and products. We are the fintech of Grupo Energisa, which for 120 years has delivered high-quality energy to millions of Brazilians, driving national development. We create products that accelerate digital and financial inclusion for customers across Brazil. Since 2021, we have launched innovative products for Grupo Energisa's ecosystem (corporate clients, end customers, and suppliers). **Responsibilities and Duties** **Day-to-day activities:** Study and understand strategies for developing data-, metrics-, and tools-related solutions to boost customer satisfaction and process efficiency; build technical solutions to acquire, process, and store data from multiple sources. * Act as a subject-matter expert in specific knowledge domains and specific tools/techniques. * Detect data quality issues by identifying problems in data, pipelines, and models. * Define and build controls, metrics, and monitoring systems for digital product management. * Prepare data for prescriptive and predictive modeling. * Identify and correct subtle errors in data and analyses. * Ensure results are reproducible, accurate, and actionable. * Analyze and organize raw data, perform complex data analyses, and report findings. * Support the use of best-in-class BI and Advanced Analytics tools. * Support the advancement of Analytics maturity level. * Promote best practices in data and Analytics to foster a data-driven culture. * Write basic queries. * Perform deployment. * Run database queries and extract information from databases (GCP/BigQuery). * Support the proper functioning of the environment and its routines. * Create segmentations, conduct data analyses, generate insights, and execute metric and KPI calculations to meet business area demands. * Support the Data team in planning and measuring key business-oriented metrics. * Collaborate with Developers to propose more comprehensive and effective dashboard and reporting solutions. * Write clear, coherent whitepapers, research reports, and notes. * Document processes, models, routines, and best practices clearly, consistently, and accessibly—ensuring traceability, reproducibility, and understanding by other teams or new team members. * Troubleshoot issues and keep Management informed, working closely with Developers to accelerate development and ensure quality. * Support your immediate supervisor on matters related to your area of responsibility, presenting and discussing problems and irregularities to inform procedural and action decisions. * Ensure compliance with procedures and standards applicable to your area’s needs, identifying improvement opportunities through analysis and review. * Analyze processes within your area of responsibility, proposing and suggesting improvements to maximize results. * Stay up to date on technological advancements relevant to your field, aiming for professional growth, knowledge sharing, equipment and process improvement suggestions, and contributing to continuous improvement. * * Perform other related duties as directed by your immediate supervisor. **Requirements and Qualifications** **For this position, we expect you to have:** Bachelor’s degree in Statistics, Mathematics, Computer Science, or Engineering. Minimum 5 years of experience in managing, optimizing, and monitoring recovery, storage, and distribution of raw data. Proficiency in Python programming language. Experience with Airflow. Proficiency in SQL. Knowledge of Cloud Computing for Data Engineering (GCP). Experience using Git and model versioning. Advanced English proficiency is desirable. Machine Learning courses are desirable. **Additional Information** **TO ENHANCE YOUR DAILY EXPERIENCE:** * Health and dental insurance * Meal allowance and/or food allowance * Wellhub (formerly Gympass) * Profit-sharing program (PLR) tied to goals and results * Life insurance * Nav (online medical and psychological consultations, at no cost) We are a scalable hub of financial services and products. We are the fintech of Grupo Energisa, which for 120 years has delivered high-quality energy to millions of Brazilians, driving national development. We create products that accelerate digital and financial inclusion for customers across Brazil. Since 2021, we have launched innovative products for Grupo Energisa's ecosystem (corporate clients, end customers, and suppliers).

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João Silva
Indeed · HR

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