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,

Excellent 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 effective 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