Gcp + Big Query + Python
3 days ago
Design and develop robust ETL pipelines using Python, PySpark, and GCP services.
Build and optimize data models and queries in BigQuery for analytics and reporting.
Ingest, transform, and load structured and semi-structured data from various sources.
Collaborate with data analysts, scientists, and business teams to understand data requirements.
Ensure data quality, integrity, and security across cloud-based data platforms.
Monitor and troubleshoot data workflows and performance issues.
Automate data validation and transformation processes using scripting and orchestration tools.
Required Skills & Qualifications:
Hands-on experience with Google Cloud Platform (GCP), especially BigQuery.
Strong programming skills in Python and/or PySpark.
Experience in designing and implementing ETL workflows and data pipelines.
Proficiency in SQL and data modeling for analytics.
Familiarity with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Composer.
Understanding of data governance, security, and compliance in cloud environments.
Experience with version control (Git) and agile development practices.
**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.
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