Job Summary: We are seeking a Data Engineer with extensive experience to lead projects, design data architectures, implement ETL processes, and enhance system performance—ensuring data quality and security. Key Highlights: 1. Leading IT company with 43 years of experience and CMMI Level 5 accreditation 2. Professional development opportunities in innovative projects 3. Inclusive and non-discriminatory work environment IDS Comercial is a 100% Mexican IT company with 43 years of experience and presence across Mexico, Latin America, and the U.S. Over 1,500 consultants work on numerous projects spanning the financial, commercial, manufacturing, telecommunications, services, government, and other sectors. We are accredited at CMMI Level 5 (Capability Maturity Model Integration), a quality model established by the Software Engineering Institute (SEI), and certified under ISO/IEC 27001:2013. We hold the Socially Responsible Enterprise (ESR) distinction. WE ARE LOOKING FOR YOU! · Data Lineage Main Responsibilities: Deliver specialized development-cell services delivering the following: 1. Data Flow Diagramming:      a. Documentation of services, applications, and interfaces.      b. Identification of data structures.      c. Identification of elements or fields within these data structures.      d. Validation and approval by process owners. 2. Information Mapping and Lineage:      a. Identification of original data sources.      b. Identification of lineage from source table field to destination table field—including its transformation process.      c. Validation and approval by process owners. 3. Data Requirements Document:      a. Explanation of the transformation process from source to destination.      b. Validation and approval by process owners Requirements: Technical Knowledge: Architecture Design: Create and maintain robust, efficient data pipelines. Data Management: Implement ETL (Extract, Transform, Load) processes to integrate data from diverse sources. Technical Leadership: Guide and mentor junior engineers, and define coding and development best practices. Optimization and Quality: Improve query performance and ensure data integrity, security, and availability. Essential Qualifications: Experience: Proven extensive track record in data engineering or similar roles. Technical Skills (Hard Skills): Proficiency in programming languages (Python, Scala, Java, SQL), Big Data tools (Spark, Hadoop), and cloud platforms (AWS, Google Cloud, Azure). Data Modeling: Skills in designing relational and non-relational (NoSQL) databases. Work Modality: Hybrid (3 days onsite, 2 days remote). Location: CDMX. Project Duration: 6 Months · We Offer: Base monthly salary (100% payroll scheme) Statutory benefits Attendance bonus (10% of base monthly salary) 5% housing fund (percentage of payroll) 2% retirement fund (percentage of payroll) Major Medical Expense Insurance Minor Medical Expense Insurance Accident Life Insurance Savings Fund (Optional) Fleet Vehicle Insurance (Optional) Commercial Agreements · We are an inclusive company free from any form of discrimination, where opportunities are available to those who demonstrate attitude and talent. We do not require medical certificates confirming non-pregnancy or HIV status as prerequisites for joining our large professional family or accessing equal growth opportunities.-Requirements- Minimum Education: Higher Education – Bachelor’s Degree years of experience Keywords: data, data