Senior Data Engineer

3 weeks ago

Gurugram, India Egon Zehnder Full time

The Company

Knowledge Centre India (KCI)

Knowledge Center India (KCI) is the central engine that drives the operational value for the firm. Established in 2004, KCI has evolved over the years from purely operational efficiencies into more value-added service offerings, becoming a true business partner. There are various teams based at KCI that work with Global Offices, Practice Groups, and the Management across all aspects of the firm's business life cycle. With a headcount of more than 500, the center has 5 core teams working including Experts, Research Operations, Visual Solutions, Projects/CV Capture and Digital IT, working round the clock on many mission critical elements.

Who We Are

We are part of Digital-IT team established 17 years ago in Gurgaon, India to provide technology support and rollout digital initiatives to 60 plus global offices. Digital IT has six key pillars – Collaboration Technology; Functional Technology; Digital Technology; Security & Architecture; Infrastructure & Services, Digital Success to support business and to take lead on digital transformation initiatives with the total strength of 150+ team members across the globe.

Requirements

Requirements 

Job Summary:

We are seeking a skilled and motivated Data Engineer  with strong proficiency in Python  and a solid foundation in data engineering principles . The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and machine learning initiatives.

Key Responsibilities:

Design, develop, and maintain robust ETL/ELT pipelines using Python and modern data engineering tools. Work with structured and unstructured data from various sources including APIs, databases, and cloud platforms. Optimize data workflows for performance, scalability, and reliability. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Implement data quality checks, monitoring, and alerting mechanisms. Maintain and enhance data models and schemas for analytics and reporting. Ensure data security, compliance, and governance standards are met.

Required Skills & Qualifications:

5+ years of experience in data engineering or related roles. Strong programming skills in Python , including libraries like Pandas, NumPy, and PySpark. Experience with data pipeline orchestration tools (e.g. Azure Data Factory). Proficiency in SQL and working with relational databases (e.g. SQL Server). Familiarity with cloud platforms Azure and cloud-native data services. Understanding of data pipeline, databases and data warehousing concepts and tools. Knowledge of version control systems and CI/CD practices.

Preferred Qualifications:

Experience with data technologies (e.g., python, azure databrick). Knowledge of data governance and metadata management tools. Familiarity with machine learning workflows and model deployment.

Benefits

Benefits

Benefits which make us unique

At EZ, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Egon Zehnder can mean for you

Benefits Highlights:

· 5 Days working in a Fast-paced work environment

· Work directly with the senior management team

· Reward and Recognition

· Employee friendly policies

· Personal development and training

· Health Benefits, Accident Insurance

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