MLOps Engineer

Grid Dynamics; Bengaluru, Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Medical insurance

Flexible schedule

Corporate social events

Professional development opportunities

Job summary

Grid Dynamics in Bengaluru is seeking a skilled data analyst to join their team. The successful candidate will perform outlier detection, validate dashboard outputs, write SQL and PySpark queries, and monitor workflows using Azure Data Factory and Databricks. This role requires at least 3 years of experience in SQL, along with familiarity with data processing. The position offers a competitive salary, flexible working schedule, and benefits such as medical insurance and professional development opportunities.

Qualifications

• 3+ years of strong working knowledge of SQL.
• Basic to intermediate experience with PySpark/Python.
• Understanding of data pipelines and distributed data processing.
• Familiarity with CI/CD processes and Azure DevOps.

Responsibilities

• Support and monitor weekend batch loads for timely execution.
• Perform analysis for demand forecast drops or anomalies.
• Write and optimize SQL queries and PySpark transformations.
• Monitor workflows in Azure Data Factory (ADF) and Databricks.
• Maintain documentation for issues and findings.

Skills

SQL

PySpark

Python

Data analysis

Monitoring data pipelines

CI/CD processes

Tools

Azure Data Factory

Databricks

Job description

Overview

Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies.

Essential Functions

• 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 clear 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 PySpark 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.

Qualifications

• Strong working knowledge of SQL (must-have) with 3+ years of experience.
• Basic to intermediate PySpark / Python.
• Understanding of data pipelines and distributed data processing.
• Familiarity with Azure Data Factory (ADF) and Databricks.
• Basic understanding of machine learning workflows and model outputs.
• Ability to perform data analysis and debugging using data.
• Exposure to CI/CD processes and Azure DevOps.

Would be a plus

• Understanding of forecasting concepts (FA, Bias, error metrics, etc.).
• Experience with data validation, anomaly detection, or RCA analysis.
• Familiarity with ML Ops or model monitoring concepts.
• Ability to interpret model features and outputs (basic explainability).
• Strong problem‑solving mindset and attention to detail.

We offer

• Opportunity to work on bleeding‑edge projects.
• Work with a highly motivated and dedicated team.
• Competitive salary.
• Flexible schedule.
• Benefits package - medical insurance, sports.
• Corporate social events.
• Professional development opportunities.
• Well‑equipped office.