Job Requirements

Required Qualifications

- Bachelor's or master's degree in computer science, engineering, mathematics or a

related discipline, or equivalent practical experience.
- Substantial qualified 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.
- Strong 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

Recruiters

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, sc

Work Experience 5-7Years

📌 Data Engineer - Snowflake and DBT (Bengaluru)
🏢 Virtusa
📍 Bengaluru