Senior Quality Engineer Lead - Big Data, Spark & Cloud

Fairygodboss; Strongsville (OH); On-site; USD 140,000 - 170,000; Full time

Job summary

PNC is seeking a Quality Engineer Principal to lead enterprise-wide quality engineering for Big Data, Hadoop, and Data Warehouse platforms. Based in Pittsburgh, PA or Strongsville, OH, you will drive test strategy, automation architecture, and quality governance across onsite-offshore teams.

The role requires hands-on Python development, experience with Spark/PySpark, HQL/SQL, and Cloud environments (AWS). You will guide a 3-5 member QA team and shape SDLC/STLC practices for high-quality

Qualifications

• Extensive experience in Quality Assurance, Test Architecture, or Quality Engineering roles.
• Strong knowledge of SDLC and STLC methodologies across enterprise environments.
• Proven experience leading teams of 3-5 members in onsite-offshore delivery models.

Responsibilities

• Define and implement QA architecture, test strategies, and quality frameworks for Big Data, Hadoop, and Data Warehouse applications.
• Lead a team of 3-5 QA engineers, providing technical guidance, mentoring, and performance oversight.
• Coordinate delivery across onsite and offshore teams, ensuring effective communication, planning, and execution.
• Design and implement scalable test automation solutions for data ingestion, transformation, processing, and reporting systems.

Skills

Quality Assurance

Test Architecture

Python

Big Data / Hadoop

Data Warehouse

Spark

PySpark

HQL

SQL

AWS / Cloud Platforms

CI/CD

Agile/Scrum

DevOps

Education

Bachelor's

Tools

Hive

HDFS

YARN

Job description

PNC is seeking a Quality Engineer Principal to lead enterprise-wide quality engineering for Big Data, Hadoop, and Data Warehouse platforms. Based in Pittsburgh, PA or Strongsville, OH, you will drive test strategy, automation architecture, and quality governance across onsite-offshore teams.

The role requires hands-on Python development, experience with Spark/PySpark, HQL/SQL, and Cloud environments (AWS). You will guide a 3-5 member QA team and shape SDLC/STLC practices for high-quality