Senior Data Engineer - 5+ Years - Gurugram

Location: Gurgaon
Discipline: Analytics
Job type: Permanent
Contact name: Vanshika Kapoor

Contact email: vanshika.kapoor@crescendogroup.in
Job ref: 70965
Published: 20 days ago

Senior Data Engineer – 3+ Years – Gurugram (Hybrid)

Exciting opportunity for a Senior Data Engineer to join a global executive search and leadership advisory firm. In this role, you’ll be responsible for building secure, scalable, and efficient data pipelines and architecture to support global business needs.

Location: Gurugram (Hybrid)

Your Future Employer
Our client is a globally renowned leadership advisory firm with a presence in 36 countries and over 550 consultants. They are known for their inclusive culture, innovation, and commitment to excellence in executive search and digital transformation.

Responsibilities

  • Design and implement secure and scalable data pipelines

  • Build and manage ETL/ELT processes using Azure Data Factory and SQL

  • Work across RDBMS and NoSQL databases (e.g., SQL Server, PostgreSQL, Redis)

  • Develop Medallion architecture and data modeling solutions

  • Collaborate on cloud and on-prem data migrations and architecture

  • Ensure data governance, security, and compliance (e.g., GDPR)

  • Implement CI/CD pipelines with Git and REST APIs

  • Monitor performance and troubleshoot database/system-level issues

Requirements

  • Bachelor’s/Master’s in Engineering, Computer Science, or related field

  • 3+ years of experience in SQL, data modeling, and Azure data services

  • Strong hands-on experience in Azure Data Factory, Data Lake, and Synapse Analytics

  • Familiarity with Git, REST APIs, and CI/CD pipelines

  • Understanding of cloud and hybrid data infrastructure

  • Knowledge of data governance, data privacy, and quality standards

  • Excellent problem-solving and communication skills

Tech Stack

  • Databases: SQL Server, MySQL, PostgreSQL, Oracle, Couchbase, Redis, ElasticSearch

  • Tools: Azure Data Factory, Azure Data Lake, Git, RESTful APIs

  • Concepts: ETL/ELT, Data Warehousing, Medallion Architecture, Data Governance

What’s in it for you

  • 5-day work week with global exposure

  • Direct collaboration with senior leadership

  • Learning and development programs

  • Health and accident insurance

  • Inclusive, diverse, and collaborative workplace