Data Quality Engineer

2 days ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 20,00,000 - ₹ 25,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 20-25 LPA)Min Experience: 4 years

Location: Bengaluru

JobType: full-time

The Data Quality Engineer ensures that data across the organization's platforms is accurate, consistent, well-documented, and reliable. This role focuses on implementing frameworks and processes to maintain high data integrity, forming the backbone for analytics, insights, and operational decision-making.

Requirements

Key Responsibilities:

  • Serve as a subject matter expert on the analytics platform, driving adoption and ensuring end-to-end data integrity.
  • Collaborate with Product and Marketing teams to define KPIs and develop dashboards and reports tracking user engagement, feature adoption, and campaign performance.
  • Implement and manage automated data quality testing and validation within ETL/ELT pipelines (e.g., dbt tests, Great Expectations).
  • Perform in-depth data analysis using SQL and GraphQL to identify and resolve data quality issues.
  • Own and maintain the data quality assurance framework, proactively investigating and addressing data discrepancies.
  • Partner with source system owners and analysts to define, document, and enforce data standards and best practices.

Required Skills:

  • 4+ years of experience in data quality, data governance, or data engineering roles.
  • Expert-level proficiency in SQL for data profiling, analysis, and validation.
  • Strong understanding of ETL/ELT development and data modeling concepts.
  • Exceptional attention to detail with a methodical, data-driven approach to problem-solving.

Desired Skills:

  • Programming experience in Python for building custom data quality checks and automation.
  • Experience with cloud data warehouse platforms such as Snowflake.
  • Familiarity with data governance frameworks and data privacy regulations.

Qualifications:

  • Bachelor's degree in IT, Computer Science, or related field.
  • 4–6 years of relevant experience.

Skills:

Python, SQL, ETL, Data Testing, Quality Analysis, Snowflake

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