Hybrid Data Engineer II

at Voltz

• Job title: Data Engineer II
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, BigQuery, Google Cloud Platform, Python, SQL
• Location requirements: Hybrid, Rio de Janeiro, Brazil

About the role

• Data Engineer specializing in data solutions for a fintech. Involves developing data strategies and ensuring data quality for informed decision-making and client satisfaction.

Responsibilities

• Study and understand strategies for developing data solutions, metrics and tools to boost customer satisfaction and process efficiency, building technical solutions to acquire, process and store data from multiple sources.
• Act as a Subject Matter Expert in specific knowledge domains and in particular tools/techniques.
• Detect data quality issues by identifying problems in data, pipelines and models.
• Define and build controls, metrics and monitoring for managing digital products.
• 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.
• Help advance the organization’s Analytics maturity level.
• Promote best practices in data and Analytics to build a data-driven environment.
• Write basic queries.
• Perform deployments.
• Run queries and extract information from databases (GCP/BigQuery).
• Support the stable operation of the environment and its routines.
• Create segmentations, data analyses, generate insights, and calculate metrics and KPIs to meet business area demands.
• Support the Data team in planning and measuring the main metrics aligned with business objectives.
• Collaborate with Developers to propose more complete and effective solutions for dashboards and reports to be developed.
• Write whitepapers, research notes and clear, coherent documentation.
• Document processes, models, routines and best practices clearly, following standards and ensuring accessibility, 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 quality assurance.
• Support your immediate supervisor on matters related to your area of expertise, presenting and discussing issues and irregularities to help define procedures and actions to be taken.
• Ensure compliance with procedures and standards applicable to the area’s needs, identifying opportunities for improvement through analysis and review.
• Analyze processes related to your area of responsibility, proposing and suggesting improvements to maximize results.
• Keep up to date with technological advances related to your field to promote professional development, knowledge transfer, and suggestions for improvements to equipment and processes, contributing to continuous improvement.
• Perform other related activities as directed by your immediate supervisor.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science or Engineering.
• Minimum of 5 years’ experience managing, optimizing and monitoring the ingestion, storage and distribution of raw data.
• Proficiency in Python.
• Experience with Apache Airflow.
• Proficiency in SQL.
• Experience with cloud computing for data engineering (GCP).
• Experience using Git and model/version control.
• Advanced English is preferred.
• Machine Learning coursework or training is desirable.

Benefits

• Health and Dental insurance
• Meal Allowance and/or Grocery Allowance
• Wellhub (formerly Gympass)
• Profit-sharing (PLR) tied to goals and results
• Life insurance
• Nav (online medical and psychological consultations at no cost)