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Marsh Mc Lennan - Senior Principal Engineer - Data Engineering (3-5 yrs)
Marsh McLennan
posted 3+ weeks ago
Flexible timing
Key skills for the job
About the job :
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
- 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 :
- MIS or related qualification.
- A masters degree is always helpful
- 3 to 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 ?
- 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 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.
Functional Areas: Other
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