**Job Description:** ---------------------- Responsibilities: Develop, optimize, and maintain scalable data pipelines in on-premises and cloud environments. Participate in data ingestion, transformation, modeling, and delivery processes to support analytical consumption. Implement data governance, versioning, and data quality practices. Conduct technical analysis, diagnose failures, and define solutions for structural and operational issues. Collaborate with development teams, architecture teams, and business units to map requirements and translate needs into consistent technical deliverables. Participate in strategic data modernization initiatives, contributing best practices, technical vision, and continuous improvement. Technical Requirements: Proven experience in data engineering. Advanced proficiency in SQL and data modeling (relational and dimensional). Hands-on experience with ETL/ELT tools and pipeline orchestration (e.g., Talend, Airflow, DBT, etc.). Knowledge of cloud environments (preferably AWS) and their data services. Familiarity with distributed processing and frameworks such as Spark. Experience with version control (Git), CI/CD, and data-oriented architecture. Basic understanding of Data Quality, Data Governance, and Data Security. Behavioral Competencies: Technical rigor and attention to quality. Strong analytical ability and systemic thinking. Clear communication and collaborative attitude. Adaptability to high-pressure, fast-paced environments. Autonomy to propose improvements and drive structured solutions. **Employment Type:** -------------------------- CLT **PwD (Persons with Disabilities):** -------- NO **Benefits:** --------------- Co-payment Health Insurance + Co-payment Dental Insurance + Multi-benefit Meal Voucher + Life Insurance + Totalpass **Working Hours:** ------------------------ Mon–Fri 08:00–17:00 (1-hour break)