Greetings from TCS!
Job Title : Senior Azure Data Engineer
Required Skillset : Azure data factory, data bricks, data lake, automation and performance optimization of ETL.
Location : Gurugram
Experience Range : 6-8 years
Job Description
Must-Have
Good Knowledge of Data Brick lakehouse and Azure DataLake concept
Delta live tables (DLT)
Strong hands-on experience in ELT– pipeline development using Azure Data factory and Databricks Autoloader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task
Strong knowledge of metadata-driven data pipeline, metadata management, dynamic logic
In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS), and Azure Serverless SQL Pool.
Experience with data transformation using Spark, and SQL technologies.
Experience with code management and version control using Git or similar tools.
Strong problem-solving and debugging skills in ETL workflows and data pipelines.
Strong understanding of Azure Data bricks and Azure Synapse internals – features and capabilities.
Knowledge of Azure DevOps and continuous integration and deployment (CI / CD) process.
Knowledge of data quality and data profiling techniques, with experience in data validation and data cleansing
Good To Have :
Power Shell Knowledge
Power BI Knowledge
Responsibility of / Expectations from the Role :
Conducting technical sessions, design reviews, code reviews, and demos of pipelines and their functionality
Developing technical specification for Data pipelines and workflow and getting sign-off from Architect and Stryker leads.
Developing, deploying, and maintaining workflows and data pipelines using Azure Data bricks and Azure Synapse.
Developing pipeline / notebook for Delta live tables ( DLT) Databricks Auto Loader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task
Writing efficient and high-performing ETL code using PySpark, and SQL technologies.
Thanks & Regards,
Ria Aarthi A.
Azure Data Engineer • Pushkar, Rajasthan, India