Noww - Senior Data Engineer - ETL

3 weeks ago

Ahmedabad, India Nowwin International Pvt Ltd Full time

Description :Job Title : Senior Data EngineerLocation : Indore / Ahmedabad (India)Experience : 7+ yearsType : Full-time / ContractJoining : Immediate preferredAbout 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 (ref:hirist.tech)

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