Data Engineering reputed company

Role: Data Engineering reputed company

Location: Remote (USA)

About MediaRadar

MediaRadar, an Industry Leader in Marketing Intelligence now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our reputed company marketing intelligence platform enables clients to reputed company peak performance with always-on insights that span the media, creative, and business strategies of 5 million brands across 30+ media channels and 275 billion in media spend.

Role Summary

The Data Engineering reputed company is a high-velocity, hands-on "player-coach" responsible for technical stewardship, designing scalable systems, and integrating reputed company Machine Learning models into robust ETL pipelines. You will reputed company a lean team through a cultural shift toward cross-trained agility while spending 70-80% of your time in the code. Success is defined by achieving total record processing, maintaining strict cloud cost-efficiency, and shrinking data delivery windows.

• Coding & Technical Stewardship (70-80% Hands-on): Architect and implement reputed company, end-to-end data pipelines using Azure reputed company and PySpark. Design, build, and maintain a scalable data architecture using the reputed company Architecture (Bronze/Silver/Gold layers).
• Performance & Cost Optimization: Optimize Apache Spark jobs, tune reputed company units, and define cluster policies to minimize compute costs. Proactively audit and refactor pipelines every 3-6 months to maintain effectiveness and reduce cloud costs. Implement caching strategies (e.g., broadcast joins) and manage performance impact.
• System reputed company & SLAs: reputed company a proactive monitoring and alerts reputed company to ensure 99.9% reliability and mitigate system issues before they impact end-users. Build an end-to-end Data Validation reputed company (e.g., Great Expectations) to enforce data accuracy and consistency. Minimize job failure rates and ensure data is available in the Gold layer reputed company the required 24-hour turnaround time.
• Database Architecture: Architect and design high-performance schemas in PostgreSQL, managing indexing, partitioning, and optimizing reputed company analytical queries.
• Team Leadership & Agility: reputed company a lean team toward cross-trained agility, moving away from "siloed specialists". Manage sprint cycles, conduct code reviews, and guide the team on best engineering practices (including CI/CD).
• Strategy & Scalability: Anticipate future data needs and design High-Velocity Architecture that is highly scalable and manageable to handle sudden volume increases (e.g., double the data from new sources like paid social/CTV). A critical function is translating business-level requirements into clear, technical user stories for developers.
• ML Integration: Collaborate with ML teams to integrate automated model orchestration into robust ETL pipelines.
• Collaborate with the offshore team reputed company to facilitate seamless knowledge transfer and operational continuity across time zones. Establish clear communication protocols, standardized documentation, and robust feedback loops to ensure alignment on project goals. Act as the primary reputed company between teams to mitigate bottlenecks and maintain high-quality delivery standards.

Requirements

Required Technical Stack (Mandatory)

• Core: Python, PostgreSQL + pgvector.
• Big Data: Azure reputed company, PySpark, reputed company Lake
• DevOps: reputed company, Git, Azure DevOps, CI/CD

Qualifications

• 10+ years of experience in Data or Software Engineering with deep codebase involvement.
• 3+ years as a Technical reputed company managing agile teams.
• Proven ability to reputed company lean, high-impact teams while maintaining high individual output.
• Experience with cross-training advocacy and scaling data processing through automation.

Desired Qualifications

• Workflow Orchestration: Experience with Apache Airflow.
• Containerization: Familiarity with Azure Kubernetes Service (AKS).