Data Engineer developing data solutions for Sabesp, focusing on data modeling and ETL processes. Collaborating to enhance data infrastructure and governance.
Responsibilities
Mid-level Data Engineer with solid experience in lakehouse-based data architecture and the medallion model (bronze, silver, gold layers).
Intermediate to advanced SQL proficiency is essential, with the ability to perform performance tuning.
Experience with Databricks.
Perform data analysis and modeling to identify insights and trends.
Collaborate with other teams to define data requirements and develop data solutions.
Develop and implement automated tests to ensure data quality.
Identify new data sources, public or purchasable, that can add value to Sabesp's analytics data portfolio.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related fields.
Knowledge of SCRUM/Kanban.
Advanced knowledge of Python, PySpark, Parquet, and SQL.
Strong problem-solving skills and analytical thinking.
Ability to work independently and as part of a team.
Effective communication and documentation skills.
Commitment to quality.
Business acumen and experience in product management.
Knowledge of optimizing pipelines and data structuring.
Experience working in utilities companies.
Knowledge of architectures specific to OT/IT system integration.
Experience managing and processing data from field sensors and SCADA systems.
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