Data engineer

Description

Job Summary: Support data collection, organization, analysis, and maintenance using SQL and Python to ensure data quality and strategic decision-making. Key Highlights: 1. Manipulate data in relational databases using SQL to extract information. 2. Create and maintain simple Python scripts for task automation. 3. Collaborate with a multidisciplinary team to ensure cohesion and integration across departments. 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 manipulate data 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 client 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. * Work concurrently on multiple data-related tasks, prioritizing assignments to meet deadlines and stakeholder expectations. * Collaborate with a multidisciplinary team, sharing information and knowledge to ensure cohesion and integration among involved departments. * Participate in operational and alignment meetings with clients and the team, presenting results and progress on data-related tasks. 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 concepts and data integration. * Desired: basic knowledge of BI tools (e.g., Power BI, Looker Studio). 2511140202461689242