Module Lead - BigEye Data Quality Job

Date: Aug 14, 2025

Job Requisition Id: 62305

Location:

Bangalore, KA, IN Indore, IN Hyderabad, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire BigEye Data Quality Professionals in the following areas :

Experience

5-8 Years

Job Description

Key Responsibilities
1-2 years exp into Bigeye Tool exp
Data Quality Monitoring: Use Bigeye’s data observability platform to monitor and ensure data quality across pipelines.
Data Cataloging: Leverage Alation to understand data relationships and lineage.
Trust Flags & Tagging: Apply trust indicators and tags to data assets for transparency and traceability.
Data Profiling: Assess usability and integrity of datasets.
Rule Definition: Create and manage data quality rules and plans to validate data during ETL processes.
Modeling Leadership: Lead data modeling efforts, including logical and physical model creation and optimization.
Collaboration: Work closely with Business Analysts and Technical Architects to translate business needs into robust data models.

Required Skills:
Bigeye and Alation experience
ETL tools: Informatica, DataStage, Snaplogic
Strong understanding of data lineage, profiling, and cataloging
Experience with USAA internal systems (IGC, RRAIT, IAI, IA, UDC)
Proven leadership in mid-to-large scale data projects

Domain:
Manufacturing, Sales, Finance, Supply chain

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All Support needed for the realization of business goals,
Stable employment with a great atmosphere and ethical corporate culture