Data EngineerResponsibilities:Define configuration specifications and business analysis requirements.Perform quality assurance.Define reporting and alerting requirements.Own and develop relationship with clients, focusing on delivering the best knowledge about the company and its KPIs using the company data.Help design, document and maintain system & data processes.Report on common sources of technical issues or questions and make recommendations to the product team.Communicate key insights and findings to the product team.Constantly be on the lookout for ways to improve monitoring, discover issues and deliver better value to our customers.Constantly be on the lookout for new technologies to deliver the best value to our customers.Qualifications / Skills:Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.Basic knowledge in generating process documentation.Strong written and verbal communication skills including technical writing skills.Proven experience in requirements and testing.Education, Experience:Experience in data analysis.Proficiency in Python/R programming languages.Experience with both relational and non-relational databases (SQL, PostgreSQL, MySQL, MongoDB, Firebase, DynamoDB, etc.).Familiarity with visualization tools: Tableau, QuickSight, PowerBI, or Matplotlib/seaborn in Python.Understanding of fundamental statistical concepts, probability, distributions, regression, and hypothesis testing.Experience with Workflow Orchestration Platforms (Airflow, Luigi, Apache NiFi, or Step Functions).Knowledge of machine learning concepts.Familiarity with big data concepts and tools such as Hadoop and Spark is desirable.Benefits and Work Scheme:Hybrid (1 on-site / 4 home office).Flexible hours (Active communication through Slack).Contests and other engaging activities.Career plan to develop talent and potential.Job Type: Full-time, Indefinite durationSalary: $35,000.00 - $45,000.00 per monthWork Schedule:Monday to Friday8-hour shiftWork Location: Remote hybrid in 01900, Mexico City, CDMX#J-18808-Ljbffr
