Data Operations & Engineering Lead
Gurugram, Haryana, India
Applications have closed
Egon Zehnder
Egon Zehnder is a global organizational consulting and leadership advisory firm to many of the world's leading businesses. Click here to learn more.The Company
Egon Zehnder
Egon Zehnder (www.egonzehnder.com) is trusted advisor to many of the world’s most respected organizations and a leading Executive Search firm, with more than 400 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.
Egon Zehnder, Knowledge Centre India (KCI)
Established in January 2005, KCI in Gurgaon, works in close collaboration with the Global offices of Egon Zehnder. There are 5 teams that make up KCI: Experts, Research Operations, Visual Solutions, Projects/CV Capture and Global Technology Services.
Requirements
Purpose and Scope
The Data Operations & Engineering Lead will build our data operations practice to ensure effective data pipeline engineering, deployment, ongoing operations, and continuous improvement. This individual is responsible for the implementation and oversight of all Data Operations Team activities, including facilitating data engineering activities and decisions, monitoring Data Operations Team effectiveness, and aligning enterprise data solutions with data engineering and operations standards. The role will be the key point of contact for all data operations and data engineering solutions and processes and will work as a strategic leader working alongside senior leadership to establish a road map outlining the technical vision for this team and function.
Essential Job Responsibility
- System owner for all data technology platforms such as Data Lake, Data Warehouse, Data Mart, Data Integration tools.
- Manage and perform data operations and data engineering requirements including automation and optimization.
- Provide guidance surrounding program development and implementation.
- Responsible for the technical strategy and delivery of all data solutions in addition to providing technical support and administering applications.
- Responsible for the design, development, and deployment of data solutions on cloud platforms
- Assist in the selection of technology vendor including choice of platforms, definition of processes and staff mentorship and growth.
- Manage relationships with vendors and other external business partners.
- Must have strong experience managing large budgets and be responsible for all spend associated with those projects.
- Ideal candidate will have a strong background and interest in technology coupled with an understanding of analytics and data modeling.
- This person can articulate and demonstrate their strategic and critical thinking abilities. Leading by influence and driving results.
- Ability to work in a fast faced environment while managing competing priorities.
Qualification:
Required:
- Ability to engage resources outside of direct control to achieve objectives.
- Strong understanding of data technology platforms (Data Lake, Data Warehouse, Data Mart, Data Integration tools)
- Experience with metrics gathering, tracking and reporting to drive operational excellence.
- Strong process viewpoint
- Excellent root cause analysis skills
- Knowledge of data management policies and standards
- Ability to organize working teams and influence others.
- Ability to facilitate discussions to meaningful, agreed upon mutual decisions.
Preferred
- Experience managing Azure or equivalent Cloud services.
- Understanding of information and data architecture
- Experience working with PII, GDPR, and/or other regulated datasets.
- Experience working for a global company.
EZIRS Commitment to Diversity and 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.
Benefits
- 5 Days working
- Hybrid Work option
- Reward and Recognition
- Employee friendly policies
- Personnel development and training
- Health Benefits, Accident Insurance
- Gender Diversity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Data management DataOps Data warehouse Engineering Research
Perks/benefits: Career development Health care Insurance
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