We are looking for a **Data Engineer** with experience in designing, building, and optimizing data pipelines in cloud environments (preferably AWS). The person will be responsible for developing efficient, secure, and scalable data ingestion, transformation, and modeling solutions, supporting business areas in generating value through the use of information. **Job Requirements** **Technical Experience:** * **Proficiency in AWS for Data Architectures** (S3, Glue, Lambda, Redshift, Step Functions, IAM, KMS; DMS desirable). * **Advanced SQL** (complex queries, optimization, functions, subqueries, and performance tuning) in at least **2 engines**: SQL Server, PostgreSQL, Oracle, Redshift, or Netezza. * **Strong Python skills for data processing**, including libraries such as: pandas, boto3, pyarrow, json, requests, etc. * Experience in **automation, orchestration, and batch processing**. * Knowledge of **PySpark and distributed data handling** (DataFrames, partitioning, filtering, efficient joins; reading/writing in Parquet or Delta). * Desirable experience working with **Spark or EMR on AWS**. * Familiarity with **ETL/ELT best practices** and "medallion" architecture (Bronze/Silver/Gold). * Experience in **data versioning and security** (IAM, KMS, Secrets Manager). * Use of Git or collaborative repositories. **Main Responsibilities** * Design, build, and maintain **scalable and reusable data pipelines**. * Implement data ingestion, cleaning, transformation, and modeling processes for various use cases. * Optimize SQL queries and data handling processes to ensure efficiency and performance. * Develop automated data processing workflows using Python and/or PySpark. * Implement ETL/ELT best practices with error handling, logging, and monitoring. * Manage and ensure proper usage of AWS data services. * Guarantee data security, governance, and quality at every pipeline stage. * Collaborate with analytics, data science, and business teams to understand requirements and translate them into data solutions. Employment type: Full-time Salary: S/.6,000.00 - S/.8,000.00 per month Application Question(s): * Please indicate your salary expectation: Workplace: Remote