Lead Data Engineer- Azure

We are looking forward to hire Lead Azure Data Engineers who thrives on challenges and desire to make a real difference in the business world.

With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a fast-paced, quality-oriented, and team environment.

What you should have?

• Azure Data Factory, Azure DevOps CI / CD, Azure Data Lake, Azure Synapse, Azure Databricks, PySpark, GitHub.
• Need 6+ Years of experience
• Good analytical skills with excellent knowledge of SQL.
• Well versed with Azure Services
• Must have experience and knowledge on ADF, ADLS, Blob storage
• Must have experience in building data pipelines
• Hand on development on PySpark, Databricks
• Experience using software version control tools (Git) Work in Agile methodologies and might be required to perform QA for work done by other team members in the sprint
• Work with team and assist the Product Owner and technology lead in identifying and estimating data platform engineering
• Knowledge and ability to setup DevOps and Test frameworks
• Familiarity with API integration processes
• Exposure to Power BI , streaming data and other Azure services Career Growth Plan

What you will do?

• Develop Data pipelines to load data using Azure Data Factory into Azure DataLake , SQL data warehouse
• Perform Data Model design, ETL / ELT development optimized for efficient storage, access, and computation to serve various
• Business Intelligence use cases
• Contribute fully / partially to areas of API integration, End to end Devops automation, test automation, data visualisation (Power BI) and Business intelligence reporting solutions
• Knowledge of programming languages such as spark or python
• Create technical design documentation which includes current and future functionality, database objects affected, specifications, and flows / diagrams to detail the proposed database and / or Data Integration implementation.