Data Engineer – Etl Pipelines & Cloud Data Architecture

1 Role Overview We are looking for a Data Engineer to design develop and optimize scalable data pipelines and storage systems The candidate will work closely with analytics product and engineering teams to ensure high-quality data availability for business intelligence and ML workloads 2 Key Responsibilities A Data Pipeline Development Build and maintain batch real-time ETL ELT pipelines Integrate data from multiple sources APIs databases cloud storage streaming platforms Implement data transformation and cleansing logic B Data Architecture Modeling Design data lakes data warehouses and data marts Build optimized schemas following normalization denormalization standards Maintain high data availability and consistency across systems C Cloud Big Data Technologies Work with cloud ecosystems AWS Azure or GCP Use services such as S3 Redshift BigQuery Azure Data Factory Databricks EMR etc Manage distributed frameworks Spark Kafka Had...