Senior Data Engineer - Azure Data Services

Description :

About the job

Role : AI Enabled Data Engineer

Location : Hyderabad / Hybrid

Experience : 5+ years

Notice Period : 30 days

JD :

We are looking for a dynamic and experienced Data Engineer with a strong foundation in SQL and hands-on expertise in Teradata, Snowflake, and Databricks, operating within Azure cloud environments.

The ideal candidate will also have exposure to AI/ML technologies and be capable of integrating intelligent solutions into modern data platforms.

This role is critical in building scalable data solutions that support advanced analytics and AI-driven insights.

Key Responsibilities :

- Develop and optimize complex SQL queries across Teradata, Snowflake, and Databricks platforms.

- Design and implement scalable data pipelines and ETL processes in Azure.

- Collaborate with AI/ML teams to integrate models into data workflows and production environments.

- Ensure data quality, governance, and security across cloud and hybrid data platforms.

- Monitor and troubleshoot performance issues in data systems and pipelines.

- Automate data ingestion, transformation, and delivery using Azure Data Factory, Databricks notebooks, and other tools.

- Document data architecture, processes, and best practices.

Required Skills & Qualifications :

- 8+ years of experience in data engineering or analytics roles.

- Strong SQL skills with experience in Teradata, Snowflake, and Databricks.

- Hands-on experience with Azure services such as Azure Data Factory, Azure Synapse, Azure Blob Storage, and Azure DevOps.

- Exposure to AI/ML workflows and integration into data platforms.

- Experience with Spark (via Databricks) for large-scale data processing.

- Familiarity with data modeling, performance tuning, and optimization techniques.

- Excellent problem-solving and communication skills.

Preferred Qualifications :

- Proficiency in Python or Scala for data engineering and AI integration.

- Experience with CI/CD pipelines and infrastructure-as-code in Azure.

- Certifications in Azure, Snowflake, or Databricks.

- Knowledge of data governance frameworks and compliance standards (e., GDPR, HIPAA)