Senior Data Engineer

Description

Summary: Seeking a Senior Data Engineer with Databricks and Azure DevOps experience to design, build, and maintain scalable data pipelines and ensure operational excellence. Highlights: 1. Design and optimize data pipelines using Databricks and Azure 2. Collaborate with clients and global distributed teams 3. Implement and maintain DevOps practices within Azure environments **Company Description** At KMS Technology, we are dedicated to delivering cutting\-edge solutions and services that empower businesses to achieve their goals. Our team is composed of highly skilled professionals who are passionate about technology and innovation. We provide a dynamic and collaborative work environment where you can grow your career and make a significant impact. **Job Description** We are seeking a highly skilled **Senior Data Engineer** with strong experience in **Databricks**, along with solid experience in **DevOps practices within Azure environments**. This role is responsible for designing, building, and maintaining scalable data pipelines while ensuring reliable deployment and operational excellence across cloud environments. You will work directly with clients and internal teams to understand business needs, translate requirements into scalable technical solutions, and collaborate across cross\-functional teams to deliver high\-quality results. This position also involves partnering with **distributed teams globally**, requiring strong communication and coordination in a collaborative environment. **Responsibilities:** * Design, develop, and maintain **data pipelines and data processing solutions** using Databricks. * Build and optimize **ETL/ELT workflows** to support data ingestion, transformation, and delivery. * Implement and maintain **DevOps practices** within Azure environments, including deployment, monitoring, and automation processes. * Collaborate with clients and internal stakeholders to **gather requirements** and translate them into **scalable data solutions.** * Work closely with **distributed teams globally** to align on requirements, coordinate delivery efforts, and support effective cross\-team collaboration. * Ensure **data quality, reliability, and performance** across all data workflows. * Support and optimize **data platform operations**, including troubleshooting and performance tuning. * Participate in **code reviews and technical discussions** to ensure best practices and consistency. * Communicate progress, risks, and technical decisions clearly to both **technical and non\-technical stakeholders.** **Qualifications*** **5\+ years of experience** in data engineering or related roles. * Strong hands\-on experience with **Databricks** for building and managing data pipelines. * Experience working with **Azure cloud services** in data\-related projects. * Solid understanding of **DevOps practices,** including deployment, automation, and environment management. * Strong experience with **data processing and transformation workflows (ETL/ELT).** * Good understanding of data architecture and scalable data solutions. * Excellent **communication and collaboration skills**, with experience in client\-facing roles. * Experience working effectively with **distributed teams.** * Strong **problem\-solving skills** and ability to work independently in dynamic environments. **Additional Information** ***Perks you enjoy at KMS******Mexico*** * Mexican law benefits * 15 days of PTO (in year zero, from the first year onwards it is 3 days per year). * 5 days' leave for the death of immediate family members, negotiable. * Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children). * Annual performance bonus (10% of annualized salary). * Annual salary adjustment. * Employee Referral Bonus. * Paid Certifications / Courses * Coursera License. * 5% Savings Fund. * 5% Grocery Vouchers.