Data Engineer

Job description - Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges - Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders - Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building - Advocating application of best practices in data engineering, code hygiene, and code reviews - Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects - Creating and maintaining documentation to support stakeholders and runbooks for operational excellence - Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities - Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them - Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience Qualifications - Bachelors or master s degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) - Exposure to building cloud ready applications - Exposure to test-driven development and integration - Pragmatic and methodical approach to solutions and delivery with a focus on impact - Independent worker with ability to manage workload and meet deadlines in a fast-paced environment - Collaborative team player - Excellent verbal and written communication skills and command of English - Willingness to travel - Respect for confidentiality Technical Background - Prior experience in designing and deploying large-scale technical solutions - Fluency in modern programming languages (Python is mandatory; R, SAS desired) - Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue - Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle - Experience with big data tools like Hadoop, Spark, Kafka - Demonstrated knowledge of data structures and algorithms - Familiarity with version control systems like GitHub or Bitbucket - Familiarity with modern storage and computational frameworks - Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security - Valued but not required: - Compelling side projects or contributions to the Open-Source community - Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) - Familiarity with containerization technologies, such as Docker and Kubernetes - Experience with UI development using frameworks such as Angular, VUE, or React - Experience with NoSQL databases such as MongoDB or Cassandra - Experience presenting at data science conferences and connections within the data science community Skills: theano , Tensorflow, Scikit Experience: 3.00-8.00 Years