
Overview
- Python Knowledge with Pyspark, Pandas and Python Objects
- Knowledge of Google Cloud Platform
- GCP Certified – Prof. Data Engineer.
- Google Cloud : GCP cloud storage, Data proc, Big query
- SQL - Strong SQL & Advanced SQL
- Spark- writing skills on Pyspark
- DWH - Data warehousing concepts & dimension modeling
- GIT
- Team Leading Experience
- Apache Spark
- Scheduling tools/ETL tools
Roles & Responsibilities:
- Provide Technical Solutions
- Team Management: Assign the tasks to the team, Help/Guide Team Members for technical Queries
- Excellent troubleshooting, attention to detail, and communication skills in fast-paced setting.
- Good Understanding of Technical Requirements and co-ordination with business stakeholders
- Design & Build Enterprise Datawarehouse & DataMart’s, deploy in cloud (GCP)
- Perform Descriptive Analytics & Reporting
- Perform peer code reviews, design documents & test cases
- Support systems currently live and deployed for customers
- Build knowledge repository & cloud capabilities
- Good understand writing python code
- Understanding Agile - User Story creation
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.