On-Site
Full-Time
Gurugram, Haryana
India
Skills
Microsoft Azure
SQL
Data Warehousing
Data Engineering
Extract, Transform, Load (ETL)
Apache Spark
Business Intelligence (BI)
Performance Tuning
Data Pipelines
Big Data
About the Role
Role Overview:
The Data Engineer will focus on developing, maintaining, and optimizing data pipelines. You will work on BigQuery, Azure SQL Managed Services, and Incorta,
ensuring efficient data ingestion, transformation, and governance while integrating AI-driven automation.
Key Responsibilities:
Build and optimize data pipelines for ingestion, transformation, and storage
using BigQuery, Azure SQL Managed Services, and Incorta.
Implement AI-driven automation for data pipeline monitoring, performance tuning, and anomaly detection.
Ensure data governance, security, and compliance standards are met across all platforms.
Optimize data workflows for cost efficiency and scalability.
Collaborate with BI, AI, and application teams for seamless data access and analytics.
Integrate data from multiple sources including Salesforce, Oracle AMS, and other enterprise applications.
Required Skills:
Primary: BigQuery, ETL Development, Azure SQL Managed Services, Incorta
Secondary: Data Pipeline Optimization, Cost Optimization, Pipeline Maintenance &
Automation
Additional: AMS, AI-enhanced automation, Salesforce exposure, Oracle AMS
The Data Engineer will focus on developing, maintaining, and optimizing data pipelines. You will work on BigQuery, Azure SQL Managed Services, and Incorta,
ensuring efficient data ingestion, transformation, and governance while integrating AI-driven automation.
Key Responsibilities:
Build and optimize data pipelines for ingestion, transformation, and storage
using BigQuery, Azure SQL Managed Services, and Incorta.
Implement AI-driven automation for data pipeline monitoring, performance tuning, and anomaly detection.
Ensure data governance, security, and compliance standards are met across all platforms.
Optimize data workflows for cost efficiency and scalability.
Collaborate with BI, AI, and application teams for seamless data access and analytics.
Integrate data from multiple sources including Salesforce, Oracle AMS, and other enterprise applications.
Required Skills:
Primary: BigQuery, ETL Development, Azure SQL Managed Services, Incorta
Secondary: Data Pipeline Optimization, Cost Optimization, Pipeline Maintenance &
Automation
Additional: AMS, AI-enhanced automation, Salesforce exposure, Oracle AMS
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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