Overview
GCP Data Engineer (BigQuery)
6+years of data related working experience in Financial Institute with special preference in banking.
High proficiency in SQL, Python, PostgreSQL and Cloud native data pipeline automation tooling, e.g. BigQuery
Knowledge of SAS coding will be an advantages
Project experience in designing & developing high-performance solution for handling extremely large volume data processing, storage and wrangling in real-time manner (BigQuery, PostgreSQL, Data Modeling & ETL development on GCP)
Good understanding of DevOps, DataOps or MLOps.
Technology stack provisioned in the team include:
DataProc + Python on Google Cloud
Airflow DAG for scheduling
Multiple databases including PostgreSQL, BigQuery, graph databases, etc.
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.
- 4 - 7 Yrs
- Pune
- Hyderabad, Telangana, India
- Hyderabad, Telangana, India
- Hyderabad, Telangana, India
- Hyderabad, Telangana, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India