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1–2 jobs· newest first

Data Quality Engineer (Data QE)New
Vrinda International · Hyderabad, India
Senior
Lead Data Scientist
Smadex SLU · New York, US
Hybrid · Full-time · Manager

+10K new in the last hour

Data Quality Engineer (Data QE)

Vrinda International · Posted Nov 12, 2026

Hyderabad, Telangana, India
Senior
6+ years

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AI

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Ensure the accuracy, consistency, and reliability of data assets across complex environments by implementing robust validation frameworks and maintaining strict data integrity standards.

Responsibilities

Design and execute comprehensive testing strategies for ETL processes to verify data transformation accuracy
Perform intricate data reconciliation activities to identify and resolve discrepancies between source and target systems
Conduct rigorous quality assurance checks to uphold data integrity across all operational databases
Optimize complex SQL queries to enhance performance and efficiency within data pipelines
Validate data structures and processes within PostgreSQL, Microsoft SQL Server (MSSQL), and Snowflake environments

Skills

ETL testing data validation methodologies reconciliation techniques SQL query optimization PostgreSQL Microsoft SQL Server (MSSQL)Snowflake

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Lead Data Scientist

Smadex SLU · Posted Nov 11, 2026

New York, New York, United States
Hybrid
Full-time · Manager
7+ years

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Lead Data Scientist (Data & CTV) based in our New York office, acting as the technical anchor and people lead for our US analytics expansion.

Compensation

Great compensation package tailored to the U.S. market.

Responsibilities

Lead, mentor, and grow a team of 2 data scientists/analysts in the US
Own workload prioritization, analytical quality, and professional growth while fostering a culture of statistical rigor
Deep-dive into massive, fast-moving RTB and CTV datasets using SQL and Python to uncover market inefficiencies, bidding dynamics, and revenue opportunities
Serve as the technical expert for our US CTV footprint, analyzing performance to ensure a constant improvement in the measurable KPIs, supply-path optimization (SPO), cross-screen measurement, and auction mechanics
Partner with Product to translate complex statistical anomalies and performance signals into production-ready product requirements and self-service analytics frameworks

Requirements

Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science)
Nice to have: AdTech
Nice to have: programmatic advertising (DSP/SSP/RTB)
Nice to have: marketplace dynamics

Skills

exploratory data analysis

statistical modeling

applied statistics

hypothesis testing

experiment design

data validation methodologies

Benefits

Medical, dental, and vision benefits plans
Learning and training opportunities

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