Senior Principal Engineer - Data Engineering

Company:

Mercer

Description:

We are seeking a talented individual to join our Data Engineering team at Mercer. This role will be based in Gurgaon/ Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Senior Principal Engineer - Data Enginering

We will count on you to:

· Design, develop, and maintain scalable and robust data pipelines on Databricks.

· Collaborate with data scientists and analysts to understand data requirements and deliver solutions.

· Optimize and troubleshoot existing data pipelines for performance and reliability.

· Ensure data quality and integrity across various data sources.

· Implement data security and compliance best practices.

· Monitor data pipeline performance and conduct necessary maintenance and updates.

· Document data pipeline processes and technical specifications.

· Use analytical skills to solve complex problems associated with database development and management.

· Working with other teams, such as data scientists, business analysts, and Qlik Developers, to identify organizational needs and design effective solutions.

· Providing technical leadership and guidance to the team. This may include code reviews, mentoring,

and helping team members troubleshoot technical issues.

· 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.

· Ensuring that all data engineering activities are compliant with relevant laws and regulations, and that data is stored and processed securely.

· 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.

· 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

· 3-5 years of experience in data engineering

· Proficiency with Databricks or AWS (Glue, S3), Phython and Spark

· Strong SQL skills and experience with relational databases

· Knowledge of data warehousing concepts and ETL processes

· Excellent problem-solving and analytical skills

· Effective 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

· Experience with big data technologies (e.g., Hadoop, Kafka)

· Agile, JIRA and SDLC process knowledge

· Teamwork and collaboration skills

· Strong Quantitative and Analytical skills

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being

Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and 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.