AWS Data Engineer
Sun Life (Sun Life Financial) (company site, opens in a new tab)3–6 yrsGurugramOn-siteDirect career pageEst. 10–18 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Deliver and lead Python-based data engineering projects, coordinating delivery with multiple business partners in a global environment.
- Build and implement cloud data solutions using AWS services, including data processing and storage components.
- Support data analysis and reporting, including developing, publishing, and supporting Tableau dashboards.
Minimum Requirements
- Work Experience Required: 3–6 years of total IT experience; the JD also asks for strong Python project delivery experience and experience leading projects.
- Bachelor’s or master’s degree in Computer Engineering or Information Technology.
- Practical experience with Python for data analysis, PySpark, and AWS data services; listed services include Glue, Lambda, Step Functions, and Redshift.
- Knowledge of SDLC and software quality concepts; experience developing, publishing, and supporting Tableau dashboards.
Ideal Candidate Profile
- Has delivered Python projects in global or multi-partner environments and can coordinate technical delivery across stakeholders.
- Has hands-on experience implementing data workloads on AWS, with a focus on PySpark and AWS data services.
- Insurance or financial-services domain exposure, including insurance data concepts or work across multiple clients, is a useful shortlist advantage.