✦Role summaryAI-generated
This Principal Data Engineer will design and architect scalable AWS data pipelines, leveraging services such as EMR, Redshift, Athena, and Kinesis to meet complex business requirements. The role also involves automating deployment with CloudFormation, managing MDM with Stibo, and optimizing performance using CloudWatch and Open Search.
About this 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)Similar open roles
On-siteStaffData Engineer
On-siteJuniorData Engineer
HybridSeniorData Engineer
$135k – $150k USD
On-siteSeniorData Engineer
SK
Shaqeeq Khan·Built this board, coached engineers from Netflix, Google, IBM, Amazon. 100+ grads placed.
CV ReviewLive One on One CallsStrategy