Job Summary: We are seeking a consultative-minded Senior Data Engineer to design and operationalize complex data solutions while guiding clients. Key Highlights: 1. Design, build, and operationalize complex data solutions. 2. Guide clients in making key technical decisions aligned with their objectives. 3. Collaborate with cross-functional teams and educate end users. Senior Data Engineer Are you passionate about designing complex data solutions and helping clients make strategic technical decisions? We are looking for a **Senior Data Engineer** with a consultative mindset and impact-oriented focus. } Your Impact * Be part of a team supporting new and existing clients with their **data engineering** needs. * Guide clients in making key technical decisions to achieve their objectives. * Manage multiple accounts and track their progress. * Design, build, and operationalize complex data solutions. * Implement data transformations, cleansing, and quality assurance. * Analyze data sources and recommend their integration into analytical processes. * Incorporate best practices in **data governance, data security, and data quality**. * Collaborate with cross-functional teams and educate end users. * Perform analysis and resolution of medium-complexity incidents. * Test data movements, transformations, and components. What We’re Looking For ✔ 5+ years of experience in **Data Engineering and data product development** ✔ Experience in at least one of the following: * Data Engineering: Spark, Hadoop, Kafka * Data Science / ML: pandas, scikit-learn * Data Warehousing: SQL, OLTP / OLAP / DSS ✔ Strong understanding of end-to-end data analytics workflows ✔ Experience in analysis, debugging, and problem solving ✔ Strong English communication skills (written and verbal) ✔ Excellent time management and prioritization ✔ Mid-level leadership and high self-management Nice to Have * Experience with AWS, Azure, or GCP * Databricks certification (Data Engineering or ML) Education * Bachelor’s degree in Computer Science, Engineering, or related field Employment Type: Full-time Salary: $80,000.00 - $85,000.00 per month Application Question(s): * Data Engineering experience: Spark, Hadoop, Kafka * Data Science / ML experience: pandas, scikit-learn * Data Warehousing experience: SQL, OLTP / OLAP / DSS * Experience with AWS, Azure, or GCP Language: * English (Mandatory) License/Certification: * Databricks certification (Data Engineering or ML) (Mandatory) Work Location: Hybrid remote in 28048, Cuauhtémoc, Col.