Azure Data Engineer - Scalable systems - Hyderabad - WFO

Hiring for: A niche data, AI and analytics consulting company helping mid-large global organizations in their transformation journeys.

Role: Azure Data Engineer

Positions: 2

Experience: 2 to 8 years

Location(s): Hyderabad (WFO - Gachibowli)

Salary: Up to INR 30 LPA ( Best as per the fitment)

Notice Period: Immediate to 15 days

Responsibilities:

• Designing, building, and maintaining scalable data pipelines and workflows.

• Developing and optimizing data ingestion, transformation, and integration processes.

• Working with Azure Data Factory and related technologies to build and orchestrate data workflows.

• Ensuring data quality and integrity through robust validation and monitoring systems.

• Supporting data modeling efforts, including relational and dimensional modeling.

• Building reporting and monitoring solutions to ensure efficient and accurate data operations.

• Processing, logging, and correlating data from multiple sources to support business needs.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Proficiency in SQL and relational database design.

• Strong scripting skills for data/file manipulation (e.g., Python or similar languages).

• Experience with Azure Data Factory, SQL Server, or similar tools for data integration and transformation.

• Hands-on experience with scalable data systems, including batch and real-time processing.

• Strong understanding of ETL pipelines, data modeling, and Business Intelligence systems.

• Solid knowledge of event processing and workflow orchestration.

• Ability to write high-quality, maintainable code and follow best practices in software engineering.

• Excellent problem-solving and debugging skills.

• A team player with strong communication skills and a drive for results.

Nice to Have:

• Experience with cloud platforms, particularly Azure or AWS.

• Advanced knowledge of SQL and relational database performance optimization.

• Familiarity with tools like Azure Data Lake, Power BI, or similar analytics platforms.