Bachelor's or master's degree in computer science, engineering, mathematics or a related discipline, or equivalent practical experience.

- Substantial professional experience designing and operating enterprise data

pipelines and data warehouses in production.
- Advanced SQL skills and strong hands-on experience with Python and/or

PySpark for data processing and automation.
- Deep experience with Snowflake, including performance optimization, security,

workload management and scalable data modeling.
- Experience building ETL/ELT solutions with dbt, Informatica PowerCenter or

comparable transformation and integration tools.
- Hands-on experience implementing CI/CD pipelines for data engineering

workloads using Git-based workflows and automated testing/deployment tools.
- Experience building automated data quality systems with measurable rules,

alerting, lineage and issue-resolution workflows.
- Robust grounding in data profiling, cleansing, standardization, reconciliation and

production data validation.
- Ability to gather ambiguous requirements, make sound design decisions and

communicate effectively with technical and non-technical partners.

Preferred Qualifications





- Snowflake SnowPro Core or comparable cloud data certification.
- Experience with REST API, event and/or streaming data, and high-volume

security or operational datasets.
- Familiarity with data observability and quality frameworks such as dbt tests,

Great Expectations, Soda or Deequ.
- Experience delivering data solutions in regulated, security-sensitive, healthcare,

telecommunications or audit-oriented environments.
- Demonstrated technical leadership, mentoring or delivery coordination across a

small engineering team.

Education Qualificaiton

B Tech/ M Tech

Roles & Responsibilities
- Design and deliver scalable pipelines. Build batch and near-real-time ETL/ELT

pipelines using SQL, Python and PySpark, with Snowflake as a primary cloud data platform.
- Engineer reliable data models. Create dimensional, normalized and analytical models

that support efficient querying, traceability and reuse across enterprise reporting and analytics.
- Own data quality by design. Implement automated profiling, schema checks,

reconciliation, completeness, freshnes

📌 Lead Software Engineer (Bengaluru)
🏢 Virtusa
📍 Bengaluru