Publicis Sapient

7 days ago

Gurugram, India Publicis Sapient Full time

Job Description :We are looking for a technically strong, business friendly Data Engineering Leader who can drive initiatives across data lake infrastructure, large-scale data pipelines, and analytics platforms. This role demands a blend of technical depth, hands-on engineering skills, and leadership capabilities, ideally with experience in financial services - particularly wealth or asset management.The ideal candidate will have a strong foundation in data architecture and engineering, lead cross-functional technical teams, and translate complex business needs into scalable data solutions. You will work closely with product owners, architects, and business stakeholders to deliver high-impact outcomes that are both technically robust and & Communication :- Proven ability to lead and mentor cross-functional engineering teams.- Skilled in engaging with business stakeholders and senior leadership.- Adept at translating business challenges into actionable technical solutions.Data Architecture & Engineering :- Strong expertise in data modeling, ETL/ELT pipelines, and data lake design.- Proficient in Apache Spark, NoSQL databases, and SQL/Python for data transformation.- Hands-on experience with AWS or Azure data services (e.g., S3, Glue, Redshift, Databricks, Synapse).- Experience with data performance optimization, scalability, and cost-efficiency in cloud environments.Gen AI & Copilot-Style Integration :- Exposure to integrating LLMs (OpenAI, Azure OpenAI, etc.) into business workflows.- Familiarity with Copilot-style interfaces, prompt engineering, embeddings, and RAG architectures.MLOps & AI Agent Frameworks :- Exposure to LangChain, Semantic Kernel, or similar agentic AI frameworks.- Experience deploying ML models or AI agents into productionGood-to-Have Skills :Data Governance & BI :- Knowledge of data governance, metadata management, and data quality frameworks.- Familiarity with BI tools such as Power BI or Tableau.Financial Services Domain Knowledge :- Experience in wealth management or asset management.- Understanding of financial data structures, reporting, regulatory, or analytics use cases. (ref:hirist.tech)

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