Data Engineer

Description

Job Summary: The Data Engineer will be responsible for developing and implementing data solutions to support the company's decision-making processes, working with data collection, processing, and analysis. Key Highlights: 1. Development and maintenance of large-scale data pipelines 2. Integration and processing of data from diverse sources and formats 3. Proficiency in AWS Cloud environment is mandatory **Data Engineer Position** **Description** We are seeking a Data Engineer to join our technology team. The professional will be responsible for developing and implementing data collection, processing, and analysis solutions to support the company's decision-making processes. **Responsibilities** * Develop and maintain large-scale data ingestion, preparation, and transformation pipelines; * Integrate and process data from diverse sources and formats (APIs, databases, streams, and files); * Implement best practices for data quality, cataloging, security, and governance; * Create and automate ETL/ELT processes to ensure continuous data flow; * Design and manage storage architectures such as Data Lake, Data Warehouse, and Data Lakehouse; * Ensure high performance and cost optimization in data processing and transportation; * Monitor pipelines, troubleshoot failures, and drive continuous improvements in process efficiency **Requirements** * Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Business Administration, Engineering, or related fields; * Experience with data processing tools and languages (Python, SQL, Spark, PySpark); * Hands-on experience with data pipelines and orchestrators (Airflow, Databricks, Glue, DBT, or similar); * Proficiency in AWS Cloud environment is mandatory; * Knowledge of best practices for data quality, security, and governance; * Ability to work with large volumes of data; * Familiarity with Power BI or other data visualization tools. **Working Hours** Mon-Fri \- 9:00 AM to 5:48 PM (flexible)