Lead Specialist

2 months ago

Gurugram, India Marsh McLennan Full time

Mercer is seeking candidates for the following position based in the Mumbai office


Lead Specialist – Data Engineering


What can you expect?

  • This role is critical in enabling data driven decision making, ensuring data quality and governance and building scalable data infrastructure.
  • This role gives the candidate continuous learning opportunities, cross functional collaboration and future growth potential.
  • Candidate should get knowledge of all the projects which the BI Solutions team supports. Should get familiarize with the Data warehouse and its architecture. And in three months become productive in resolving process/business issues.
  • The candidate will work with other Data Engineer, BA and BI developers. Collaborate with MGTI IT team and if required connect with the Business.
  • Initially all the functional, business and Knowledge of tools used will be imparted inhouse. If there is any requirement of learning a new tool that training can be given on need basis.


What is in it for you?

  • Standard MMC Salary Package
  • Standard MMC Colleague Benefits
  • Work in a diverse culture and global team on latest industry technology processes.
  • Grow in culture focused on training and mentoring.
  • Exposure to cutting technologies used in data engineering solutions.


We will count on you to:

  • System Design and Development: Designing and building robust, scalable data processing systems that can handle large volumes of data. This includes databases, data lakes, and other big data infrastructures.
  • Data Pipeline Architecture: Overseeing + hands on in creation and maintenance of efficient data pipelines, which includes tasks such as data extraction, transformation, and loading (ETL).
  • Data Management: Implement data strategies and develop physical and logical data models.
  • Data Optimization: Develop and implement data optimization techniques to improve system efficiency and reduce data latency, complexity, and redundancy.
  • Data Quality: Ensuring that the data that flows through the pipelines is of high quality and that data quality checks and balances are in place.
  • Problem Solving: Use analytical skills to solve complex problems associated with database development and management.
  • Collaboration: Working with other teams, such as data scientists, business analysts, and Qlik Developers, to identify organizational needs and design effective solutions.
  • Technical Leadership: Providing technical leadership and guidance to the team. This may include code reviews, mentoring, and helping team members troubleshoot technical issues.
  • Strategy and Planning: Aligning the data engineering strategy with the wider organizational strategy. This might involve deciding which projects to prioritize, making technology choices, and planning for the team's growth and development.
  • Security and Compliance: Ensuring that all data engineering activities are compliant with relevant laws and regulations, and that data is stored and processed securely.
  • Innovation: Keeping up-to-date with new technologies and methodologies in the field of data engineering, and fostering a culture of innovation and continuous improvement within the team.
  • Stakeholder Communication: Communicate effectively with both technical and non-technical stakeholders, explaining data infrastructure, strategies, and systems in an understandable way.


What you need to have:

  • Bachelor’s degree (BE/B.TECH) in Computer Science/IT/ECE etc. MIS or related qualification. A master’s degree is always helpful
  • 3-6 years of relevant-industry experience in data engineering projects/pipelines
  • Experience on open-source data ingestion tool such as Apache Ni-Fi/Talend or Dat Governance/Handling tools like Databrick/Datstage etc.
  • Any relevant experience on cloud based ETL tools/Services like AWS Cloud or Azure Data factory etc. and it’s native component.
  • Hands on Experience on Python Scripting
  • Strong Communication Skills


What makes you stand out?

  • Exposure to any BI tool like Qlik(Preference tool), Power BI, Tableau etc.
  • Hands on experience on SQL OR PL-SQL
  • Agile, JIRA and SDLC process knowledge
  • Teamwork and collaboration skills
  • Strong Quantitative and Analytical skills



Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercer’s more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan(NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including Marsh, Guy Carpenterand Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedInand X.


Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.


Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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