




Job Summary: We are seeking a professional with experience in developing and managing data pipelines, data modeling, and applying Data Governance principles, distinguished by analytical thinking and collaborative skills. Key Highlights: 1. Experience in developing and managing data pipelines (ETL/ELT). 2. Proficiency in databases, cloud-based data languages, and tools. 3. Promotes leadership, effective communication, and collaborative teamwork. **Knowledge and Experience** **a) Education**: Technical or university degree. **b) Academic Qualifications**: Graduate professional, bachelor's degree holder, or certified professional. **c) Specialization**: Computer Engineer, Systems Engineer, Statistician, Industrial Engineer, or related fields. **d) Languages**: Basic–Intermediate English. **e) Software Proficiency**: Databases: SQL Server / Oracle Languages: Python / PySpark Modeling: Star Schema / Snowflake Schema ETL/ELT: Databricks / AWS Glue / Azure Data Factory Cloud: AWS (S3, EC2, Redshift) DevOps: Git / Terraform Data Governance: Data Quality / Lineage / Metadata / Security and Access Control Visualization: Power BI (Mandatory), AWS QuickSight, Streamlit (Desirable), ML and AI Model Deployment (Desirable) **f) Experience in**: Developing and managing data pipelines (ETL/ELT) using Databricks, AWS Glue, or similar tools with PySpark. Experience with databases (SQL Server / Oracle) and advanced SQL queries. Managing cloud-based solutions (AWS: S3, EC2). Experience in data modeling. ML and AI model deployment (desirable). Applying Data Governance principles (Data Quality, Lineage, Metadata, Security, Domains). **Other Knowledge, Experience, and Skills** → Effective communication → Leadership and collaborative teamwork in agile environments → Analytical thinking and results orientation → Developing and maintaining data workflows in cloud environments → Knowledge of Lakehouse architecture and distributed processing → DevOps best practices and version control (Git) **MINIMUM EXPERIENCE: 4 TO 5 YEARS** Employment Type: Temporary Salary: S/.5,500.00 – S/.6,200.00 per month Work Location: Remote


