Data engineer

Description

Job Summary: Support data collection, organization, analysis, and maintenance using SQL and Python to inform strategic and operational decisions. Key Highlights: 1. Data manipulation in relational databases using SQL for analysis 2. Creation and maintenance of Python scripts for task automation 3. Collaboration with multidisciplinary teams and participation in meetings Description: Support data collection, organization, analysis, and maintenance primarily using SQL and Python, aiming to ensure data quality and availability for strategic and operational decision-making. Responsibilities and Duties * Execute queries and data manipulation in relational databases using SQL to extract information according to recurring and ad-hoc analytical needs. * Create and maintain simple Python scripts to automate tasks and support data analysis and integration processes as required by the team. * Participate in data modeling and structuring processes, contributing to standardization and organization of customer databases. * Monitor data quality and consistency, identifying inconsistencies and reporting them to the team for continuous correction. * Assist in building reports and dashboards by integrating multiple data sources to facilitate visualization and tracking of key metrics. * Support data integration across different systems (CRM, marketing platforms, etc.) using tools and processes defined by the team. * Simultaneously handle multiple data requests, prioritizing tasks to meet deadlines and stakeholder expectations. * Collaborate with a multidisciplinary team, sharing information and knowledge to ensure cohesion and integration across involved areas. * Participate in operational and alignment meetings with clients and the team, presenting results and progress on data-related requests. Requirements and Qualifications * Proficiency in SQL (queries, joins, filters, aggregations). * Basic knowledge of Python (data manipulation, libraries such as Pandas). * Understanding of relational data modeling concepts. * Familiarity with ETL and data integration concepts. * Familiarity with BI tools (e.g., Power BI, Looker Studio) is desirable. 2511140202461689242