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Egon Zehnder

Senior Data Engineer

Posted 2 Days Ago
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In-Office or Remote
Hiring Remotely in Gurugram, Haryana
Senior level
In-Office or Remote
Hiring Remotely in Gurugram, Haryana
Senior level
The Data Engineer will design, build, and maintain scalable data pipelines, optimize workflows, collaborate with teams, and ensure data security and quality.
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Description
The Company

Egon Zehnder ( is trusted advisor to many of the world’s most respected organizations and a leading Executive Search firm, with more than 600+ consultants and 69 offices in 41 countries spanning Europe, the Americas, Asia Pacific, the Middle East and Africa. Our clients range from the largest corporations to emerging growth companies, government and regulatory bodies, and major educational and cultural institutions. The firm is a private partnership which allows us to operate independent of any outside interests. As a result of this unique culture, Egon Zehnder has the highest professional staff retention rate for a global firm in our profession. We have a blue-chip client base across all industries and operate at the Board and senior management level.

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

Potential Growth for you!

We will nurture your talent in an inclusive culture that values diversity. You will be doing regular catchups with your Manager who will act as your career coach and guide you in your career goals and aspirations.

Location

The position is based at Egon Zehnder’s KCI office in Gurgaon, Plot no. 29, Institutional Area Sector 32.

EZIRS Commitment to Diversity & Inclusion

Egon Zehnder Information Research & Services (EZIRS) aims for a diverse workplace and strive to continuously lead with our firm values. We respect personal values of every individual irrespective of race, national or social origin, gender, religion, political or other opinion, disability, age and sexual orientation as warranted by basic rights enshrined in the UN Declaration of Human Rights. We believe diversity of our firm is central to the success and enables us to deliver better solutions for our clients. We are committed to creating an inclusive environment and supportive work environment, where everyone feels comfortable to be themselves and treated with dignity and respect and there is no unlawful discrimination related to employment, recruitment, training, promotion or remuneration.

Egon Zehnder is an Equal Opportunity Employer

Egon Zehnder provides equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, disability, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

Top Skills

Azure
Azure Data Factory
Numpy
Pandas
Pyspark
Python
SQL

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