Azure Data Engineer || Face to Face Interview || Contract Job || 7-14 Years Experience

About Client :

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Interview Details : Face to Face Interview (23-Oct-25)

Job Title : Azure Data Engineer

Experience Level : 7-14 Years

Job Location : Hyderabad

Budget : 1,60,000 Per Month

Job Type : Contract

Work Mode : Hybrid

Notice Period : Immediate Joiners

Client : CMMI Level 5

Job Description : Required Skills :

We are seeking a highly skilled Senior or Lead Data Engineer with deep expertise in Microsoft Azure data ecosystem to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will play a key role in building robust data solutions that support advanced analytics, BI, and AI workloads across the organization. This role involves working with cross-functional teams — data scientists, analysts, and business stakeholders — to ensure high-quality, secure, and performant data delivery.

Key Responsibilities :

1. Data Architecture & Pipeline Development

• Design, develop, and maintain data ingestion, transformation, and storage pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics.
• Build end-to-end ETL / ELT workflows from diverse sources such as APIs, on-prem databases, SaaS applications, and data lakes.
• Implement data modelling (star schema, snowflake, data vault, etc.) for analytical and operational data stores.
• Manage data ingestion frameworks for both batch and streaming (real-time) use cases using Azure Event Hubs / Azure Stream Analytics / Kafka.

2. Data Management & Governance

3. Cloud & DevOps Integration

4. Collaboration & Leadership

Core Azure Services :

Programming & Tools :

Data Architecture & Modelling :

Other Skills :

Soft Skills