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.