Analytics Engineer Sr developing data pipelines and analytics solutions for Brazil's retail industry. Collaborating with marketing and product teams to optimize data usage and performance.
Responsibilities
Develop, maintain and evolve data pipelines for collection, ingestion, transformation, and provisioning of information in an analytical environment;
Ensure data quality, integrity, and consistency through validations, monitoring, and handling of pipeline failures;
Process and analyze large volumes of data using Databricks, SQL, and advanced transformation and analytical exploration techniques;
Identify patterns, trends, and optimization opportunities from data, supporting process improvements and business outcomes;
Develop and optimize code for automation of analytical processes and data integration;
Work on optimizing operational processes, reducing manual tasks, and increasing efficiency and scalability of routines;
Structure, document, and evolve data flows and processes, identifying bottlenecks, dependencies, and opportunities for continuous improvement;
Create interactive Power BI dashboards tailored to business area needs;
Collaborate with marketing, sales, and product teams to align metrics and objectives.
Requirements
Degree in Engineering, Data Science, Statistics, IT, or related fields;
Experience with Databricks, Power BI, SQL, and process automation;
Experience with programming languages (Python, PySpark) for automation;
Ability to create adaptable, data-exploration-oriented dashboards;
Good communication skills and ability to work collaboratively.
Preferred qualifications:
Knowledge of process mapping and modeling tools (e.g., BPMN);
Knowledge of machine learning and predictive analytics;
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