Noww - Senior Data Engineer - Azure Data Services

Job Title : Senior Data Engineer.

Location : Hyderabad/ Indore / Ahmedabad (India).

Experience : 7+ years.

Type : Full-time / Contract.

Joining : Immediate preferred.

About the Role :

We are looking for an experienced Lead Data Engineer to design, build, and maintain scalable data pipelines and ETL workflows using Azure Data Factory (ADF), Databricks, and Power BI / Fabric.

Youll collaborate with analysts, architects, and business stakeholders to deliver end-to-end data solutions that enable data-driven decision-making.

This role requires strong technical expertise, cloud data engineering skills, and the ability to mentor junior team members.

Key Responsibilities :

- Develop and maintain data pipelines using Azure Data Factory (ADF) and Databricks.

- Design and implement Power BI / Fabric dashboards for actionable insights.

- Collaborate with cross-functional teams to understand requirements and deliver solutions.

- Perform ETL operations extract, transform, and load data into Azure Data Lake or Azure SQL.

- Ensure data quality, reliability, and integrity throughout the data lifecycle.

- Automate repetitive data processes for efficient reporting.

- Monitor, troubleshoot, and optimize data pipelines for performance and scalability.

- Write clean, maintainable code for data transformations and automation.

Required Qualifications :

- Bachelors degree in Computer Science, IT, or related field.

- 7+ years of experience in Data Engineering, BI Development, or a related field.

- Hands-on experience with Azure Data Factory (ADF) and Power BI.

- Strong SQL skills and experience with Azure SQL Database / SQL Server.

- Proficiency in Python, SQL, or equivalent scripting languages.

- Knowledge of data warehousing concepts and ETL processes.

- Experience working with cloud-based data platforms (preferably Microsoft Azure).

- Strong analytical, troubleshooting, and optimization skills.

Preferred Qualifications :

- Experience with Azure Databricks or similar data processing frameworks.

- Knowledge of Microsoft Fabric and data modeling for Power BI.

- Familiarity with data lake architecture and performance tuning.