4 days ago
Remote, WorldwideMid Level
H1B sponsor
Responsibilities
- Design, build, and maintain scalable batch and streaming ETL/ELT pipelines in cloud environments.
- Transform raw structured and semi-structured data into curated analytical models using SQL, Python, dbt, and medallion architecture.
- Implement automated data quality checks, schema validation, logging, and pipeline observability.
- Collaborate with Ontology, Knowledge Graph, and Data Science teams on datasets for graph ingestion and ML feature stores.
- Enforce data governance, lineage, role-based access control, PII handling, and GDPR compliance.
- Monitor data reliability and pipeline performance and perform performance tuning.
Requirements
- At least 3 years of hands-on experience as a Data Engineer building production data pipelines.
- Strong proficiency in SQL and Python, with practical experience in distributed data processing using Databricks and PySpark.
- Hands-on experience with Databricks, Snowflake, AWS, or Azure.
- Experience with dbt, Apache Airflow, or Databricks Workflows.
- Understanding of dimensional modeling and lakehouse architecture.
- Familiarity with CI/CD best practices and Git.
- Detail-oriented approach to data reliability, performance tuning, and pipeline monitoring.
Benefits
- Remote position.
- During onboarding, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.
About Virtusa
Virtusa is a global IT services and consulting firm that builds and runs digital platforms, applications, and cloud systems for large enterprises. It sells project-based engineering, systems integration, and managed services across industries such as financial services, healthcare, and telecommunications. Founded in 1996 and headquartered in Southborough, Massachusetts, Virtusa is privately held and owned by BPEA EQT after previously trading on NASDAQ.