Job Title: Data Engineer Mid Responsibilities: - Design, maintain, and optimize data pipelines using SQL and Python. - Automate ETL processes for data extraction, transformation, and loading. - Integrate and clean large volumes of data from multiple sources. - Build advanced reports in Excel with pivot tables, dashboards, and macros. - Collaborate with business teams to translate requirements into technical solutions. - Perform data validation and quality control. - Document all developed processes with clarity and traceability. Mandatory Requirements: - 2 to 4 years of proven experience as a Data Engineer. - Advanced proficiency in SQL (complex queries, joins, subqueries, performance tuning). - Strong knowledge of Python for data processing (pandas, numpy, automation scripts). - Advanced Excel skills, including pivot tables, complex formulas, and macros (VBA). - Experience working with relational databases such as PostgreSQL, MySQL, or SQL Server. - Proficiency in version control using Git. - Experience with data visualization tools such as Power BI or Tableau. - Familiarity with cloud environments (AWS, Azure, or GCP). - Previous experience in agile environments (Scrum or Kanban). - Ability to document technical processes clearly. - Availability to work 100% on-site in Bogotá.