Senior Data Engineer (Senior)

Description

Job Summary: We are looking for a professional to develop and maintain data pipelines, optimize cloud architectures, and consultatively collaborate with business units to ensure data quality and governance. Key Highlights: 1. Periodic feedback and mentoring for career development 2. Flat hierarchy and leaders evaluated by employees 3. Focus on competence and the willingness to drive transformation through knowledge **Open positions for those who want to transform businesses and their careers!** --------------------------------------------------------------------- ### **What you will find here** Periodic and realistic feedback; we help professionals understand their performance, that of their peers, and areas for improvement; Through our Mentoring Program and Individual Development Plan, the team achieves its career goals while UDS achieves its business objectives; Our hierarchy is flat—everyone contributes a part, and together we deliver the whole; All leaders here are evaluated by employees; Benefits include remote work, flexible hours, meal/voucher allowances (VR/VA), health and dental insurance, benefits package, career development plan, internal training, upskilling incentives, and student partnerships.### **Job Requirements** Strong expertise in relational and analytical databases (SQL Server, BigQuery, Snowflake); Experience with Salesforce (data integration and consumption); Proficiency in programming languages for data engineering (Python); Knowledge of cloud environments (AWS and GCP), including S3, Lambda, Cloud Functions, IAM, Dataproc, Pub/Sub, and orchestration services; Experience with data pipelines and integrations (Airflow, Dataflow, Glue, Functions, Cloud Run); Knowledge of data modeling, Data Lake architecture, and Data Warehouse architecture; Experience with customer service/contact center tools for data ingestion (Genesys, Five9\); Familiarity with data governance, version control, and DataOps best practices (Git, CI/CD, technical documentation);### **Your Responsibilities** Develop, enhance, and maintain data pipelines, ingestion processes, and integrations between internal and external systems, ensuring data quality, governance, security, and availability for business units; Implement and optimize data architectures in cloud environments (AWS/GCP) and analytical platforms (Snowflake, BigQuery), ensuring scalability, automation, and adherence to data engineering best practices; Consultatively engage with business units, translating requirements into technical solutions while ensuring clarity, patience in support, effective communication, and alignment between expectations and delivery; Automate processes, apply DataOps best practices—including version control and governance—monitor data flows, and proactively address issues to ensure data integrity and service continuity; Build, maintain, and monitor integrations with external solutions, ensuring continuous data ingestion, appropriate data handling, and technical alignment with vendors and partners.### **It’s important to remember that...** At UDS, we hire competent people who are eager to transform using their knowledge. This is independent of your region, age, ethnicity or race, religion, gender identity, or sexual orientation. Do your skills match this position? **That’s all that matters.** Do your profile and values align with ours? **Join us to create transformations.**