Principal Data Engineering

• Design and implement cloud-native data platforms (e.g., Azure Data Lake, Databricks, Snowflake) with batch, streaming
• Build robust pipelines using Python/Scala, Spark, SQL, Kafka, and orchestration (Azure Data Factory)
• Design and deploy REST/GraphQL APIs for curated data products, ML inference, and feature services
• Optimize cost, performance, and reliability; implement observability (lineage, logging, metrics, alerting)
• Advanced understanding of data architecture and cloud solutions, especially in Azure
• Mentor a team of engineers; define coding standards, reviews, and engineering OKRs
• Translate business needs into scalable data solutions or products, manage stakeholder expectations and delivery timelines
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 12+ years of professional experience in data engineering, data products development, AI tools, including technical leadership
• Hands-on Data Engineering Lead to architect, build, and scale modern data platforms that power analytics, AI, and real-time APIs
• Hands-on experience with AI Tools or platforms, building and deploying AI models for analytics leveraging LLM, RAG and Gen AI
• Data Engineering Expertise: Hands-on experience with Azure, Apache Spark, Databricks (using Scala and Python), and Azure Data Factory
• Database Management: Solid experience with SQL and NoSQL databases for efficient data storage and querying
• Version Control: Proficiency with Git or similar systems
• Agile & Testing: Familiarity with Agile methodologies, unit testing, and test automation frameworks
• AI: GitHub Copilot, M365 Copilot, LLM Models, Gen AI
• Solution Architecture: Ability to design, implement, and integrate solutions with robust data security measures
• Performance Optimization: Ensure cross-browser compatibility and optimize applications for scalability and high performance
  • Server-Side Development: Design, develop, and maintain API services and server-side applications