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Vrinda Global
Delivery Lead - Gen AI
Vrinda Global · posted 8 months ago
Gurugram
About the role
Job Description Role- Delivery Lead
Experience- 12+ years
Location- Gurugram
Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions. • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices. • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables. • Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions. • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals. • Take ownership of release planning, change management, and stakeholder engagement to ensure project success. • Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines. Technical Expertise: • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration. • Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services. • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation. • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures. • Application Development: Expertise in developing event-driven and microservices based architectures using Java, Python, and modern frameworks. • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation. • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing. • Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation. Must Have: • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives. • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event driven architectures and streaming data solutions. • Strong leadership experience in managing teams and delivering complex projects in Agile environments. • Proficiency in integrating Generative AI solutions into existing platforms and workflows. • Excellent communication and stakeholder management skills to collaborate across diverse teams.