Data Engineer

Job Title: Data Engineer
Work Setup: Remote

Responsibilities:Assist in designing and implementing ETL processes using AWS Glue to extract, transform, and load data from various sources into data lakes, data warehouses, or other target systemsCollaborate with senior data engineers to understand data requirements and contribute to the development of efficient and scalable Glue jobs.Support the optimization and performance tuning of Glue jobs to ensure data accuracy, consistency, and integrityContribute to the development and maintenance of data pipelines and workflows to automate data ingestion, transformation, and data quality checksWork closely with the team to identify and resolve data-related issues, ensuring data availability, accessibility, and timelinessAssist in monitoring and troubleshooting data pipelines, ensuring the smooth and efficient execution of data processing jobsLearn and apply best practices for data governance, data quality, and data security within the AWS environmentStay updated with the latest AWS services, tools, and techniques related to data engineering, actively participating in knowledge sharing and learning opportunitiesEnthusiasm for learning new technologies and a proactive attitude towards professional growthQualifications: Support data engineering activities on the Digital Assistants team, skills should include:PythonNodeJSJavaScriptRelational Databases (SQL, MySQL)Non-Relational Databases (DynamoDB)Data Warehousing (Redshift)Cloud Platforms (AWS, Azure)ETL Tools (Glue, SSIS)APIs & Data Integration.Data Analysis, Data Modeling & Data Visualization.Troubleshooting & OptimizationCreate Clear DocumentationClear Communication