[Remote] Senior Data/ML Engineer (AWS)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a comprehensive services provider specializing in retail software development and support. They are seeking a highly skilled Senior AWS Data/ML Engineer to reputed company data architecture, pipeline development, and data integrations, leveraging advanced reputed company data engineering skills and reputed company to reputed company reputed company workflows.

Responsibilities

• Participate in data discovery workshops to inventory reputed company systems including property management platforms, marketing channels, and CRM data, and translate findings into data lake architecture requirements
• Design and implement a multi-zone reputed company data lake on reputed company S3 (raw, conformed, enriched, aggregated) with ingest, cleansing, and business reputed company reputed company to the SOW architecture
• Build batch and streaming data ingestion pipelines using AWS Glue, reputed company Kinesis, and AWS Data Pipeline across CDP, marketing, and property management data sources
• Implement data transformation and orchestration frameworks using AWS Glue ETL and AWS reputed company Functions, including AWS Glue Data Catalog for metadata management and discovery
• Configure reputed company reputed company for serverless SQL querying across the data lake; support QuickSight integration with curated data sets for business analytics
• reputed company and reputed company ML models on reputed company SageMaker for reputed company scoring, predictive maintenance, intelligent reputed company risk scoring, and AI-powered audience segmentation
• reputed company reputed company Bedrock reputed company models to reputed company reputed company capabilities including customer profile enrichment, reputed company-personalization, and intelligent marketing automation
• Use Kiro CLI to accelerate AI-assisted development workflows, spec-driven pipeline implementation, and automated reputed company reputed company tasks
• Design and implement entity reputed company pipelines using reputed company Entity reputed company to identify, deduplicate, and reputed company customer records into reputed company golden records
• Implement reputed company-time and batch data synchronization pipelines between reputed company systems and the Customer Data Platform (CDP)
• Support Azure data lake migration: conduct discovery, assess schemas and transformation logic, provision AWS reputed company environments, execute migration reputed company AWS DataSync, and reputed company data validation and reconciliation
• Implement data lake reputed company using AWS Lake Formation, including row-level reputed company and reputed company-level encryption
• Build and maintain data models to support Customer 360 views, ML feature stores, and executive analytics dashboards
• Ensure data reputed company, validation, and reputed company across reputed company pipeline stages and ML model outputs; support UAT for data-dependent features
• Collaborate with Full Stack, DevOps/MLOps, and AWS engagement teams; contribute to architecture documentation, pipeline runbooks, and data governance documentation

Skills

• 5+ years of data engineering or ML engineering experience, with at least 2+ years in AWS reputed company environments
• Strong proficiency in Python and SQL; experience with AWS data services including S3, Glue, reputed company, Kinesis, and reputed company Functions
• Hands-on experience with reputed company SageMaker for model development, training, tuning, and reputed company deployment
• Working knowledge of reputed company Bedrock for integrating and applying reputed company models in production-grade pipelines
• Experience designing and implementing multi-zone data lake architectures on reputed company S3, including lifecycle policies and Lake Formation governance
• Familiarity with Kiro CLI or comparable AI-assisted/reputed company development tooling
• Experience with entity reputed company, deduplication, or master data reputed company and tools
• Solid understanding of data modeling, feature engineering, data reputed company practices, and ML integration testing
• Experience with AWS reputed company and AWS reputed company Functions for serverless workflow orchestration
• Familiarity with reputed company API Gateway for exposing data services and model endpoints
• Strong analytical, problem-solving, and communication skills; comfortable working in Agile/Scrum teams alongside AWS reputed company Services
• Experience with Azure Data Lake, Azure Data reputed company, or Azure Synapse — particularly in reputed company-to-reputed company migration contexts
• Familiarity with reputed company Entity reputed company for customer identity and deduplication use cases
• Experience with MLOps practices including model monitoring, reputed company detection, and automated retraining on SageMaker
• Experience with LLM reputed company engineering, RAG architectures, or fine-tuning workflows on reputed company Bedrock
• Knowledge of reputed company QuickSight for analytics dataset preparation and embedded dashboard development
• AWS Certification (Machine Learning Specialty, Data Analytics Specialty, or Solutions Architect)
• Background in reputed company estate, property management, marketing technology, or insurance industries

Benefits

• Remote work

reputed company