Data Eng (ETL)

Data Engineer (ETL) \| AI/ML \& Azure Data Platform

• *Experience:** 7–8 Years
• *Employment Type:** C2C / C2H
• *Location:** Hybrid (Pan India)
• *Shift:** 11:00 AM – 9:00 PM IST

Job Summary

We are seeking an experienced **Data Engineer** with expertise in **ETL/ELT development, Azure Data Platform, Python, Apache Spark, and AI/ML**. The ideal candidate will build scalable data pipelines, cloud\-native data solutions, and integrate AI/LLM capabilities into enterprise data platforms.

Key Responsibilities

• Design and optimize ETL/ELT pipelines.
• Develop scalable data processing solutions using Python and PySpark.
• Build data lakes and warehouses using Azure Databricks and Snowflake.
• Develop Azure Functions and integrate Azure Service Bus.
• Automate infrastructure using Terraform and CI/CD pipelines.
• Collaborate with AI/ML teams to integrate LLMs into data workflows.
• Ensure data quality, scalability, and production support.

Required Skills

• Data Engineering \& ETL/ELT
• Python
• Apache Spark (PySpark \& Spark SQL)
• Azure Databricks (Unity Catalog)
• Snowflake
• Azure Functions \& Azure Service Bus
• SQL
• Terraform
• Git, GitHub Actions, Artifactory \& SonarQube
• AI/ML \& LLM Integration (Mandatory)

Preferred Skills

Azure Data Factory, Azure Synapse, Delta Lake, MLflow, Azure DevOps, Kafka, Docker, Kubernetes, Microsoft Fabric.

Qualifications

• Bachelor's or Master's degree in Computer Science, IT, Engineering, or a related field.
• 7–8 years of Data Engineering experience with Azure cloud services.
• Strong analytical, problem\-solving, and communication skills.

Pay: ₹90,000\.00 \- ₹100,000\.00 per month

Experience

• Azure: 7 years (Required)
• Snowflake: 4 years (Required)
• ETL: 5 years (Required)
• AI/ML Integration: 3 years (Required)
• Python: 3 years (Required)

Work Location: Hybrid remote in Pune, Maharashtra (Pune District)