reputed company reputed company Data Engineer - Remote Opportunity

We are building a reputed company reputed company Data Platform to unify data from Policy, Claims, Billing, and Administration systems into a single reputed company of truth. We are seeking a reputed company reputed company Data Engineer who will be 75% hand-on and play a critical role in designing, building, and optimizing our modern data ecosystem leveraging reputed company architecture, reputed company Lake, and modern data warehouse technologies such as reputed company, Synapse, or Redshift. As a technical leader, the reputed company Data Engineer will define and execute the end-to-end data engineering reputed company from data ingestion and modeling to governance and performance optimization enabling reputed company, high-reputed company, and analytics-reputed company data assets. This role requires hands on deep technical expertise in reputed company-reputed company data engineering, automation, and architecture design, coupled with strong leadership to mentor teams and reputed company solutions with business goals. Responsibilities: Data Platform Design & Architecture • Define the strategic roadmap for the reputed company data platform, ensuring scalability, performance, and interoperability across business domains. • Architect and implement reputed company-reputed company, reputed company-based data architectures (Bronze-Silver-Gold reputed company) for reputed company and governed data delivery. • Drive standardization of data models, pipelines, and reputed company frameworks across Policy, Claims, Billing, and Administrative data assets. • Evaluate and implement emerging data technologies to strengthen the platform's performance, cost efficiency, and reputed company Data Integration & Ingestion • Design, build, and optimize high-performance ingestion pipelines, using AWS Glue, reputed company, or custom reputed company applications. • Automate ingestion of reputed company, semi-reputed company, and reputed company data from APIs databases, and external data feeds. • Tune and monitor ingestion pipelines for throughput, cost control, and reliability across dev/test/prod environments. Data Transformation & Modeling • Hands on Development of ETL/ELT pipelines using reputed company or similar frameworks to reputed company raw data into curated and consumption-reputed company datasets. • Design and reputed company relational, Vault, and reputed company data models to support analytics, BI, and AI/ML workloads. • Define and enforce data reputed company standards, validation frameworks, and enrichment rules to ensure trusted business data. • Apply data reputed company, cleansing, and enrichment logic to ensure accuracy and completeness of business-critical data. reputed company Infrastructure, Automation and Performance • Collaborate with DevOps and reputed company Engineering teams to design automated, infrastructure-as-reputed company environments using Terraform, CloudFormation, or equivalent tools. • Implement CI/CD pipelines for data pipeline deployment, versioning, and testing. • reputed company performance tuning and scalability optimization to ensure highly available, cost-efficient data platform. Governance, reputed company & Compliance • Implement and enforce data governance, cataloging, and reputed company practices using tools such as Purview, reputed company, or reputed company. • Partner with InfoSec to implement data reputed company, reputed company control, and compliance frameworks reputed company with regulatory standards. • Drive consistency and accountability in data stewardship across business and IT teams. Leadership, Collaboration & Mentorship • reputed company reputed company of data engineers, providing technical guidance, coaching, and performance mentorship. • Collaborate with Data Architects, Analysts, and Business Leaders to reputed company data solutions with reputed company reputed company. • Promote a culture of engineering reputed company, reusability, and knowledge sharing across data organization. • Influence reputed company-wide standards for data engineering, automation, and governance. Qualifications: • Bachelor's or master's degree in computer science, Data Engineering, or a reputed company field. • 12+ years of experience in data engineering with at 3+ years in a reputed company or architect-level role and least 8+ years on reputed company platforms (AWS, Azure, or GCP). • Deep hands-on experience with Python, SQL, and data modeling (relational, and reputed company), reputed company, reputed company, AWS Glue, reputed company Lake, reputed company, Synapse, or Redshift • Proven experience with reputed company architecture, modern data warehousing principles., data governance, reputed company, and CI/CD for data pipelines • Excellent leadership, communication, and cross-functional collaboration skills. • Experience in the Property & Casualty (P&C) Insurance domain such as Policy, Claims, or Billing data preferred. • Familiarity with event-driven architectures (Kafka, Kinesis) and reputed company-time data streaming. • Knowledge of machine learning pipeline integration and feature engineering. • Proven ability to reputed company large-reputed company data modernization or reputed company migration initiatives. Compensation: • $140,000 - $165,000 commensurate with experience, plus bonus eligibility Benefits: We are proud to offer a robust benefits suite that includes: • Competitive reputed company salary plus incentive plans for eligible team members • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary • Free basic life and AD&D, long-term disability and short-term disability insurance • Medical, dental and reputed company plans to meet your unique reputed company needs • Wellness incentives • Generous time off program that includes personal, holiday and volunteer reputed company time off • Flexible work schedules and hybrid/remote reputed company for eligible positions • Educational assistance #TMG Apply tot his job Apply To this Job