Data Engineer
1 month ago
Role Overview :
We are looking for a go getter person who can define:
- Analytics strategies to meet the demands of business requirements
- Technical requirements of the analytic solutions
- Data requirements of the analytic solution processes
- The person will be part of the Data Science and Engineering team for a major Insurance client. He/ She will work with different stakeholders as SME for data and cloud engineering.
- Engages in technical problem solving across multiple technologies; often needs to develop new solutions
- A typical work day will involve working with stakeholders in individual contributor.
- A suitable candidate should have 9+ years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity.
- Experience in insurance preferred but not mandatory.
- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
Required Skillsets :
- 9+ years of experience in analytics, Oracle, ETL, GCP, Python and associated data engineering jobs. Strong Coding Experience in Python, SQL
- Must have Experience with managing and transforming big data sets using PySpark
- Must have Experience of building ETL & ML Pipelines using cloud services AWS, Azure etc.
- Experience in Cloud Model Deployment using AWS, Azure
- Must Have Experience with Snowflake
- Hands on Experience with Python Web Frameworks - Django & Flask
- Have worked on at least one of the GIT repository management solution (Bitbucket etc.)
- Experience in stakeholder management, team management (data engineers)
- Experience in providing technical leadership and guidance to team
- Experience in managing Python, SQL codes and collaborating with customer on model evolution.
- Excellent communication & presentation skills for client interaction
- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred
- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).
- Strong ability to translate functional specifications / requirements to technical requirements
(ref:hirist.tech)
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