IT Business Application Engineer (Middle) ID28105

Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :) What you will do Monitor Redwood’s service desk and resolve issues in accordance with established service level agreements (SLAs); Implement SSO and SCIM for new applications; Gather information from internal customers on their needs and find the best solution available; Integrate SaaS applications according to Business requirements; Document all aspects of applications for maintenance; Administer Atlassian Suite, Azure AD, Office 365, and Google Workspace; Manage Microsoft Exchange Online; Manage an application inventory; Provide daily support and maintenance of the computing environment to users by analyzing and resolving reported technical problems; Execute maintenance schedules for applications; Assist or train users on the use of productivity tools, in-house developed software, and/or cloud/SaaS-delivered solutions; Develop and maintain training materials for end-user applications in multiple formats, including online/wiki, printed, and video; Lead and drive medium- to large-scale projects. Must haves  5 – 10 years of directly related work experience in a computer operations environment providing IT application management and licensing, Rationalization and Evaluation, IT Helpdesk, IT/Technical Support, and the configuration and maintenance of end-user and small computer equipment; Strong understanding of help desk ticketing systems and maintaining SLAs; Excellent communication skills, encompassing verbal, written, and documentation skills; Ability to create, maintain, and update documentation pertaining to desktop support processes, system configurations, and end-user instructions; Ability to work with minimal supervision and problem-solve but escalate and seek assistance when appropriate; Ability to work and think effectively under pressure and accurately prioritize and complete tasks within established timeframes; A degree in a relevant field is desired, equivalent work experience or certifications are required; Hands-on familiarity with cloud and on-premises products from Microsoft, Google, Atlassian, Slack; Hands-on familiarity with security controls on end-user systems; Hands-on familiarity with JSON or YAML; Upper-intermediate English level. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Requirements 3+ years of professional experience in a Data Engineering role; Proficiency in programming languages commonly used in data engineering such as Python, SQL, and optionally Scala for working with data processing frameworks like Spark and libs like Pandas; Proficiency in designing, deploying, and managing data pipelines using Apache Airflow for workflow orchestration and scheduling; Ability to design, develop, and optimize ETL processes to move and transform data from various sources into the data warehouse, ensuring data quality, reliability, and efficiency; Knowledge of big data technologies and frameworks such as Apache Spark for processing large volumes of data efficiently; Extensive hands-on experience with various AWS services relevant to data engineering, including but not limited to Amazon MWAA, Amazon S3, Amazon RDS, Amazon EMR, AWS Lambda, AWS Glue, Amazon Redshift, AWS Data Pipeline, Amazon DynamoDB; Deep understanding and practical experience in building and optimizing cloud data warehousing solutions; Ability to monitor data pipelines, identify bottlenecks, and optimize data processing and storage for performance and cost-effectiveness; Excellent communication skills to collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders; Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience; Upper-intermediate English level.