Location: Gurugram, India
Date Posted: Jun 23, 2026

About Alvarez & Marsal

Alvarez & Marsal (A&M;) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The cooperative environment and engaging work—guided by A&M;'s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.;

The Team
Robust hands-on experience with Databricks, Snowflake, Python, SQL, and PySpark
Experience designing and implementing Lakehouse architectures and cloud-native data platforms
Expertise in ETL/ELT frameworks, data modeling, and data warehousing concepts
Hands-on experience with data migration & modernization across Databricks, Snowflake, similar platforms
Experience with CI/CD, DevOps practices, and orchestration tools




Exposure to integrating AI/GenAI capabilities into data pipelines and workflows, including intelligent data extraction, enrichment, classification, or automated quality checks
Understanding of data governance, security, and performance optimization

How you will contribute

As a member of the A&M; Finance Transformation Data Engineer team, you will:
Design and deliver scalable, production-ready data solutions supporting Finance Transformation initiatives across Financial Reporting, Financial Close, Cash Forecasting, FP&A;, and O2C
Build & optimize data pipelines using Databricks, Snowflake, Python, SQL, and PySpark
Execute data migration and modernization programs across cloud data platforms
Develop analytical datasets and data models supporting financial statement modeling, forecasting, and management reporting
Identify prospects to embed AI-driven capabilities into ETL/ELT pipeli

📌 Senior Associate, Financetransformation Data Engineer Gurugram
🏢 Alvarez & Marsal
📍 Gurugram