WTW
Website:
wtwco.com
Job details:
Work location: Mumbai / Gurgaon
Shift: 1.30 P.M. - 10.30 P.M.
Summary:
We are seeking an experienced Analytic Engineer as part of our Global H&B Data and Analytics Platform. In this role, you will apply data science principles with the technical and architectural expertise of a data engineer. This role will be focused on building robust and scalable data workflows and products, within the semantic layer, to help business stakeholders and analytic teams make data-driven decisions.
Role:
- Collaborate with cross-functional team members and other data professionals to define business goals and set parameters to measure analytic outcomes
- Work with data scientists, actuaries and other analytical colleagues to collect and clean data for analysis
- Design, develop and maintain the data models and other data products within the semantic layer.
- Design, develop and maintain data pipelines that are scalable, reusable and governed
- Create and maintain data storage systems within the semantic layer
- Develop and maintain documentation for all data products
- Ensures that all data assets are ready for analysis and decision-making
Requirements:
- University or college degree in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field of study.
- 10+ years of experience in Analytics
- Proficiency in a modern data technology stack (e.g. Azure: Synapse, Fabric, ADF AWS: Redshift, Glue, Athena, etc.)
- Strong understanding in Apache Spark or other big data frameworks (e.g. Hadoop); distributed computing experience a plus
- Advanced SQL skills and experience with relational databases and database design
- Intermediate to Advanced level in Python; working knowledge within PySpark a plus
- Strong proficiency in data pipeline and workflow management tools (e.g. Airflow, ADF)
- Strong analytical skills and experience with data modeling
- Strong project management and organizational skills
- Proven ability to work independently and with a team
Click on Apply to know more.