Job Summary :

Lead Azure Data Engineer with 5 years of experience in designing and building scalable data lakes, data warehouses, and ETL pipelines using Azure Data Factory, Azure Databricks, SQL, and Python.

Responsibilities :

- Develop, implement, and maintain the information data lake and use insight platforms to enable decision support systems.
- Partner with business and customers to understand data and reporting requirements.
- Bring data sets together to answer business questions and drive growth.
- Design ETLs to ingest data into the data warehouse and data lake, as well as end-user facing reporting applications.
- Collaborate with business customers and development teams to define requirements and deliver flexible, scalable, end-to-end solutions.
- Work with new technologies while driving business intelligence solutions end-to-end: business requirements, data modelling, ETL, metadata, reporting, and dashboarding.
- Apply expertise in the design, creation, management, and business use of large datasets.




- Define SLA for all areas of ownership.

Tech Stack & Requirements:

- Experience with Data modelling, SQL, ETL, Data Warehousing and Data lakes.
- Experience in writing SQL and Python scripts.
- Experience in building dashboards and reports using Microsoft Power BI.
- Experience in transforming data using Azure Data Factory.
- Experience working with Spark and Azure Databricks.
- Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
- Robust verbal/written communication & data presentation skills.
- Familiarity with scripting languages such as Python, PySpark, or JavaScript.
- Knowledge of Azure Databricks and MPP databases.
- Exposure to NoSQL databases (such as Cosmos DB, MongoDB).
- Experience following Agile processes.
- Experience working with distributed version control systems like Git.
- Experience with Mulesoft/Kingswaysoft/Marketo.

📌 Lead Azure Data Engineer - ETL/Python (India)
🏢 Smartwork IT Services
📍 India