AWS Data Engineer (Mid-Level)

Description

Job Summary: Work on a strategic data engineering and governance project, developing and optimizing pipelines while ensuring data quality and collaborating with Analytics teams. Key Highlights: 1. Strategic data engineering and governance project 2. Develop and optimize data pipelines (ETL/ELT) 3. Ensure data quality, consistency, and performance Description: * Solid Snowflake expertise required; * Proven experience as a Data Engineer (Mid-Level); * Strong SQL proficiency (complex queries and performance optimization); * Oracle database experience mandatory; * ETL tool experience required (DataStage is preferred). * Desirable: * Python knowledge; * AWS experience (S3, Glue, Redshift, etc.); * Prior experience in the telecommunications sector is a plus. Work on a strategic data engineering and governance project. If you enjoy technical challenges, possess strong analytical reasoning, and excel at SQL and Oracle databases, this opportunity is for you. * Develop, maintain, and optimize data pipelines (ETL/ELT); * Perform integrations across multiple data sources (on-premise and cloud); * Execute data extraction, transformation, and loading routines using corporate tools; * Ensure data quality, consistency, and performance; * Collaborate with Analytics and Engineering teams, contributing scalable solutions and best practices; * Document processes and support data governance initiatives. 251107020230178409