Amazon Simple Storage Service (S3), Apache Hadoop, Apache Kafka, AWS, Azure, Google Cloud Platform (GCP), MySQL, Oracle, PostgreSQL, Python Programming, R Programming, SPARK Programming, SQL
At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally.
Our Mission and Purpose
Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams.
Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results.
We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members.
The Role and Responsibilities
We have open positions ranging from Associate Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries.
In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction.
Your responsibilities will include
Your Attributes, Experience & Qualifications
Technical Background
Marsh & McLennan Companies, Inc., doing business as Marsh McLennan, is a global professional services firm, headquartered in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting. Marsh & McLennan Companies is composed of two primary business segments: Risk and Insurance Services, and Consulting.
Mumbai, Maharashtra, India
2-4 year
St. Louis, MO, USA
2-4 year
Hiranandani Gardens, Powai, Mumbai, Maharashtra, India
2-4 year
Dallas, TX, USA
0-2 year
San Francisco, CA, USA
0-2 year
Los Angeles, CA, USA
0-2 year
Washington D.C., DC, USA
0-2 year
New York, NY, USA
0-2 year
Chicago, IL, USA
0-2 year
Atlanta, GA, USA
0-2 year
Athens, Greece
0-2 year
Dubai - United Arab Emirates
6-8 year
Dubai - United Arab Emirates
8-10 year
Dallas, TX, USA
2-4 year
New York, NY, USA
2-4 year
Philadelphia, PA, USA
2-4 year
Edina, MN, USA
2-4 year
Chicago, IL, USA
2-4 year
Athens, Greece
4-6 year
Hiranandani Gardens, Powai, Mumbai, Maharashtra, India
8-10 year
Amsterdam, Netherlands
4-6 year
Milan, Metropolitan City of Milan, Italy
6-8 year
Amsterdam, Netherlands
6-8 year
Philadelphia, PA, USA
0-2 year
Boston, MA, USA
6-8 year
New York, NY, USA
6-8 year
San Francisco, CA, USA
6-8 year
Toronto, ON, Canada
6-8 year
Doha, Qatar
2-4 year
Riyadh Saudi Arabia
2-4 year
Boston, MA, USA
6-8 year
Chicago, IL, USA
6-8 year
Gurugram, Haryana, India
0-2 year
Alexandria, VA, USA; Aliso Viejo, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Billings, MT, USA; Boise, ID, USA; Boston, MA, USA; Cary, NC, USA; Clearwater, FL, USA; Columbus, GA, USA; Dallas, TX, USA; Dayton, OH, USA; Denver, CO, USA; Dublin, OH, USA; Duluth, MN, USA; Fargo, ND, USA; Fort Lauderdale, FL, USA; Golden Valley, MN, USA; Greenville, SC, USA; Hoboken, NJ, USA; Johns Creek, GA, USA; King of Prussia, PA, USA; Las Vegas, NV, USA; Medford, OR, USA; Miami, FL, USA; Missoula, MT, USA; Morristown, NJ, USA; Murfreesboro, TN, USA; New York, NY, USA; Providence, RI, USA; Richmond, VA, USA; Saddle Brook, NJ, USA; San Diego, CA, USA; Schaumburg, IL, USA; Seattle, WA, USA; Sioux Falls, SD, USA; Spokane, WA, USA; St. Louis, MO, USA; Tampa, FL, USA; Troy, MI, USA; West Point, GA, USA; White Plains, NY, USA
4-6 year
Atlanta, GA, USA; Austin, TX, USA; Bend, OR, USA; Boston, MA, USA; Chesterfield, MO, USA; Chicago, IL, USA; Dallas, TX, USA; Duluth, MN, USA; Fargo, ND, USA; Golden Valley, MN, USA; Grand Forks, ND, USA; Grand Rapids, MN, USA; Hartford, CT, USA; Houston, TX, USA; Kansas City, MO, USA; Knoxville, TN, USA; La Vista, NE, USA; Lincoln, NE, USA; Louisville, KY, USA; Maitland, FL, USA; Memphis, TN, USA; Midland, TX, USA; Missoula, MT, USA; Morristown, NJ, USA; Nashville, TN, USA; New York, NY, USA; Philadelphia, PA, USA; Portland, ME, USA; Providence, RI, USA; Richmond, VA, USA; Sacramento, CA, USA; San Diego, CA, USA; Schaumburg, IL, USA; Tampa, FL, USA; Troy, MI, USA; Van Nuys, CA, USA; Virginia Beach, VA, USA; White Plains, NY, USA
6-8 year