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Publicis Sapient - Senior Manager - Data Engineering

Publicis Sapient - Senior Manager - Data Engineering

Publicis SapientGurgaon
4 days ago
Job description

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 production

    • Good-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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    Manager Data Engineering • Gurgaon