We are seeking an experienced Lead Data Engineer to design, build, and optimize scalable data pipelines, infrastructure, and architectures. This role will lead a team of data engineers, providing technical guidance and ensuring best practices in data management, governance, and performance. The idóneo candidate has a strong background in big data technologies, cloud platforms, and modern data engineering practices, with the ability to collaborate cross-functionally to deliver high-quality data solutions. Location: Providencia, Guadalajara, Mexico ️ Language: Bilingual (English & Spanish) Work Authorization: Must be legally authorized to work and currently residing in Mexico. Key Responsibilities Lead the design, development, and maintenance of data pipelines and ETL processes. Oversee data modeling, integration, and transformation to ensure availability and reliability of data across systems. Manage and mentor a team of data engineers, fostering growth and technical excellence. Collaborate with data scientists, analysts,



and business stakeholders to understand requirements and deliver data solutions. Ensure data governance, quality, security, and compliance with industry standards. Evaluate and implement new tools, frameworks, and best practices in data engineering. Monitor and optimize system performance, scalability, and cost efficiency. Drive adoption of cloud-based data platforms (AWS, Azure, GCP) and modern data stack technologies. • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 7+ years of experience in data engineering, with at least 2+ years in a leadership role. • Strong expertise in SQL, data modeling, and distributed data processing. • Hands-on experience with big data technologies (Spark, Hadoop, Kafka, etc.). • Proficiency in Python, Scala, or Java for data engineering tasks. • Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse, or similar). • Knowledge of workflow orchestration tools (Airfl

📌 Lead Data Engineer Spark (México)
🏢 FlexTal Staffing
📍 México