About the role
Senior Tech Specialist, Applications & Platforms
Job requirements
Experience Range: 7 to 10 years of experience in advanced AWS data engineering, including significant expertise in Master Data Management (MDM) with Stibo and designing large-scale data solutions Key Responsibilities: • Design and architect scalable data pipelines and solutions using AWS native services to support complex business requirements • Develop, implement, and optimize ETL processes leveraging AWS technologies such as EMR, Redshift, Athena, and DMS • Configure and manage real-time data streaming and ingestion frameworks utilizing Kinesis and Amazon API Gateway • Monitor, troubleshoot, and enhance data infrastructure performance using CloudWatch and Open Search • Automate deployment and infrastructure provisioning with CloudFormation and manage schema migrations using SCT • Lead the implementation and integration of Master Data Management (MDM) solutions using Stibo within enterprise data platforms • Collaborate with cross-functional teams to integrate data solutions with enterprise applications and analytics platforms • Ensure data security, quality, and compliance by implementing best practices and leveraging AWS security features • Lead technical reviews, mentor junior engineers, and drive adoption of emerging data technologies within the organization
Required Skills: • Advanced proficiency in AWS services including SNS, SQS, Amazon API Gateway, Athena, CloudFormation, CloudWatch, DMS, DynamoDB, EMR, Kinesis, Open Search, Redshift, SCT • Expertise in designing and managing data pipelines and ETL workflows on AWS • Strong experience with Spark using Scala for large-scale data processing • Hands-on experience with Oozie workflow scheduling and orchestration • Deep knowledge of real-time data streaming with AWS Kinesis • Proven ability to configure and optimize Amazon Redshift for analytics workloads • Experience with DynamoDB for NoSQL database solutions • Ability to automate infrastructure and deployments using AWS CloudFormation • Proficient in monitoring and logging with AWS CloudWatch • Skill in managing data migration and schema transformation using AWS SCT and DMS • Demonstrated expertise in implementing and integrating MDM solutions using Stibo
Preferred Skills: • Experience integrating AWS data solutions with third-party analytics and visualization tools • Proficiency in optimizing performance for large-scale distributed data systems • Knowledge of emerging AWS data services and staying current with industry best practices • Experience with Open Search for search and analytics use cases • Background in mentoring and leading engineering teams in cloud data projects • Familiarity with advanced data governance and data quality frameworks in MDM environments
Desired Qualifications: • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional • Certification in Apache Spark or relevant big data technologies (preferred)
Text as published by Brillio. We don't edit postings; apply and ask questions on the employer's site.