Principal Data Engineer-R01570250

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

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

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

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)