Manager - Data Engineering

Gurugram - DLF Building, India

Marsh McLennan

Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...

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Company:

Oliver Wyman

Description:

Job Overview: 

The OWG Technology department is seeking a highly skilled and motivated Senior Datawarehouse Engineer to play a critical role in our data transformation program. In this position, you will lead major projects and workstreams, collaborating closely with stakeholders to ensure the successful implementation of data solutions. Your strong background of data architecture and expertise in implementing data warehouses & data models, cloud data platforms, particularly the Databricks Lakehouse, will be essential in driving innovation and best practices within the team. You will also mentor and coach junior team members, providing guidance during sprints as a technical lead.

Key Responsibilities:

  • Designs, develops and maintains business intelligence solutions that provide actionable insights to drive business decisions.

  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.

  • Leverages multiple large datasets to drive revenues via the development of new products with the Data Strategy team, as well as the enhanced delivery of existing products  

  • Constructs and maintains data pipelines between internal/external sources and the data lake utilizing modern ETL frameworks

  • Familiarity with ETL Tools and Data Warehousing concepts with proficiency in SQL

  • Create and maintain dashboards, reports, and visualizations using BI tools (e.g., Tableau, Power BI, Qlik).

  • Ensure data accuracy and integrity by implementing data quality checks and validation processes.

  • Analyze complex data sets to identify trends, patterns, and insights that inform business strategies.

  • Optimize existing BI solutions for performance and usability.

  • Utilize cloud platforms (e.g., AWS, Azure) to design and implement BI solutions.

  • Stay up-to-date with industry trends and best practices in business intelligence and data analytics.

  • Provide training and support to end-users on BI tools and reports.

Experience:

  • Bachelor’s or Master's degree in computer science, Data Science, Engineering, or a related field.

  • Minimum of 5+ years of experience in data engineering or a related data role, with a proven track record of leading projects and initiatives.

  • Expertise in designing and implementing production-grade Spark-based solutions.

  • Expertise in query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.

  • Proficient in big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, and OLAP.

  • Proficient in cloud architecture, systems, and principles, particularly in AWS.

  • Proficient in programming languages such as Python, R, Scala, or Java.

  • Expertise in scaling ETL pipelines for performance and cost-effectiveness.

  • Experience in building and scaling streaming data pipelines.

  • Strong understanding of DevOps tools and best practices for data engineering, including CI/CD, unit and integration testing, automation, and orchestration.

  • Cloud or Databricks certification is highly desirable.

Skills and Attributes:

  • Full professional proficiency in both written and spoken English.

  • Strong problem-solving and troubleshooting skills.

  • Excellent communication skills, both verbal and written, with the ability to articulate complex concepts clearly and engage effectively with diverse audiences.

  • Proven ability to lead and mentor junior team members, fostering a collaborative and high-performing team environment.

  • Neutral toward technology, vendor, and product choices, prioritizing results over personal preferences.

  • Resilient and composed in the face of opposition to ideas, demonstrating a collaborative spirit.

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.

Marsh McLennan (NYSE: MMC) 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 $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.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.

Marsh McLennan (NYSE: MMC) 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 marshmclennan.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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Big Data Business Intelligence CI/CD Computer Science Data Analytics Databricks Data pipelines Data quality Data strategy Data Warehousing DevOps Engineering ETL Hadoop Java MPP NoSQL OLAP Pipelines Power BI Python Qlik R Scala Spark SQL Streaming Tableau Testing

Perks/benefits: Career development Flex hours

Regions: Remote/Anywhere Asia/Pacific
Country: India

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