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

- Bachelors degree in Computer Science, Engineering, or a related field.

- Proficiency in SQL and relational database design.

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

- 3+ years of 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.

📌 Senior Data Engineer (Hyderabad)
🏢 Finarb Analytics Consulting
📍 Hyderabad