Total Experience - 4 Years - 6 Years
Notice Period - Immediate - 15 Days
Location- Bangalore/Hyderabad/Chennai
Key responsibilities
Support and monitor weekend batch loads, ensuring timely and accurate execution
Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies
Translate findings into transparent insights and communicate them effectively to leads and stakeholders
Monitor scheduled jobs and data pipelines to ensure successful execution
Validate dashboard outputs and analyze data trends, anomalies, and inconsistencies
Support basic model validation and output analysis (e.g., forecast vs actuals, error trends)
Write and optimize SQL queries and Py Spark transformations for debugging and analysis
Identify patterns in recurring failures and recommend improvements
Work with data science and engineering teams to debug model or data-related issues
Escalate issues when required, with clear analysis and supporting insights
Monitor workflows in Azure Data Factory (ADF) and Databricks




Contribute to CI/CD validation and release monitoring
Maintain documentation for issues, RCA findings, and fixes
Grid Dynamics (Nasdaq: GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.
To learn more about Grid Dynamics, please visit Follow us on Facebook , Twitter , and Linked In.

📌 Machine Learning Engineer (Bengaluru)
🏢 Grid Dynamics
📍 Bengaluru