Level: General
Location: India
Our not-so-secret sauce.
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 10,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.
Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).
A day in life.
We are seeking a highly capable Senior Data Engineer to join the East Data Engineering Group. This role is focused on supporting a growing portfolio of projects related to data ingestion, automation, data structuring, quality assurance, and system integration.
Responsibilities
- Design, build, and maintain data pipelines and engineering workflows
- Develop and optimize solutions using SQL, Python, and Databricks
- Independently manage and deliver tasks assigned from the project backlog
- Support initiatives involving:
- Data ingestion, Process automation, transformation
- Data quality assurance and validation
- Data and system integration
- Ensure data accuracy, reliability, and operational efficiency across workflows
- Follow best practices in data engineering, documentation, and quality control
- Strong experience in SQL, Strong programming experience in Python
- Hands-on experience with Databricks
- Solid understanding of data engineering concepts, including pipeline development and automation
- Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
- Ability to collaborate effectively in a distributed/global team environment
- Familiarity with data quality assurance, testing, and validation processes
- Ability to work independently and manage assigned tasks with limited oversight
- Strong analytical, problem-solving, and communication skills
Qualifications
Nice to have Skills:
- Experience with Power BI, Qlik, or similar BI tools.
- Familiarity with data warehousing and dimensional modeling.
Level: General
Location: India
Our not-so-secret sauce.
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 10,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.
Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).
A day in life.
We are seeking a highly capable Senior Data Engineer to join the East Data Engineering Group. This role is focused on supporting a growing portfolio of projects related to data ingestion, automation, data structuring, quality assurance, and system integration.
Responsibilities
- Design, build, and maintain data pipelines and engineering workflows
- Develop and optimize solutions using SQL, Python, and Databricks
- Independently manage and deliver tasks assigned from the project backlog
- Support initiatives involving:
- Data ingestion, Process automation, transformation
- Data quality assurance and validation
- Data and system integration
- Ensure data accuracy, reliability, and operational efficiency across workflows
- Follow best practices in data engineering, documentation, and quality control
- Strong experience in SQL, Strong programming experience in Python
- Hands-on experience with Databricks
- Solid understanding of data engineering concepts, including pipeline development and automation
- Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
- Ability to collaborate effectively in a distributed/global team environment
- Familiarity with data quality assurance, testing, and validation processes
- Ability to work independently and manage assigned tasks with limited oversight
- Strong analytical, problem-solving, and communication skills
Qualifications
Nice to have Skills:
- Experience with Power BI, Qlik, or similar BI tools.
- Familiarity with data warehousing and dimensional modeling.
.
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.