Senior Data Engineer

Title:
Data EngineerLocation:
Sao Paulo, Brazil (Remote work)Job type:
CLT model
Responsibilities:Work with business partners and stakeholders to understand data requirements.Work with engineering, product teams and 3rd parties to collect required data.Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.Develop and implement data quality checks, conduct QA and implement monitoring routines.Improve the reliability and scalability of our ETL processes.Manage a portfolio of data products that deliver high-quality, trustworthy data.Help onboard and support other engineers as they join the team.
Experience required:5+ years of professional experience.3+ years’ experience working in Data Engineering, business intelligence, or a similar role.Proficiency in programming languages such as Python.Experience with Databricks and Spark.3+ years of experience in ETL orchestration and workflow management tools like Airflow using AWS/GCP.Expert in Database fundamentals, SQL and distributed computing.Excellent communication skills and experience working with technical and non-technical teams.Knowledge of reporting tools such as Tableau, Superset and Looker is preferred .Comfortable working in fast paced environment, self starter and self organizing.Ability to think strategically, analyze and interpret market and consumer information.