ML - Alation Data Quality Engineer Job Job Details | Yash Technologies

2 days ago

Bengaluru, Karnataka, India Yash Technologies Pvt Ltd Full time
Job Description

ML - Alation Data Quality Engineer Job

Date: Aug 14, 2025

Job Requisition Id: 62306

Location: Bangalore, KA, IN; Hyderabad, IN; Indore, 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, were 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 Alation DQ Professionals in the following areas:

Experience

5-8 Years

Key Responsibilities
  • 3-4 years exp into Alation DQ Tool exp
  • Data Catalog Management: Use Alation to create, maintain, and optimize data catalogs, ensuring metadata accuracy and accessibility.
  • Data Quality Frameworks: Design and implement scalable data quality frameworks using Alations trust flags, stewardship workflows, and policy enforcement.
  • Collaboration: Work with data stewards, analysts, and engineering teams to define and enforce data governance policies.
  • Data Profiling & Lineage: Analyze datasets for completeness, consistency, and lineage using Alations profiling tools.
  • Documentation & Standards: Establish and maintain documentation for data definitions, quality rules, and business glossaries.
  • Monitoring & Reporting: Develop dashboards and reports to monitor data quality KPIs and drive continuous improvement.
  • Training & Enablement: Educate teams on Alation usage, data governance best practices, and data quality standards.
Required Skills
  • Hands-on experience with Alation Data Catalog
  • Strong understanding of data governance, metadata management, and data lineage
  • Proficiency in SQL, Python, or other scripting languages for data analysis
  • Familiarity with ETL/ELT pipelines and modern data stack tools (e.g., Snowflake, Databricks, Redshift)
  • Experience with data quality tools and frameworks (e.g., Great Expectations, Monte Carlo, Bigeye)
  • Excellent communication and stakeholder management skills
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

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