Data Engineer

Azure Data Engineer

Location: Bengaluru, Chennai, Delhi, Mumbai, Pune, Hyderabad

Exp: 10 yrs

Expertise:

· Good Knowledge of Data Brick lakehouse and Azure DataLake concept · Knowledge of Data Bricks delta 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.

· Solid understanding of design patterns, and best practices of the cloud stack.

· 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.

Hands-on Duties:

· 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.

· Collaborating with data architects, data analysts, and other stakeholders to design and implement ETL solutions that meet business requirements.

· Writing efficient and high-performing ETL code using PySpark, and SQL technologies.

· Building and testing data pipelines using Azure Data bricks and Azure Synapse.

· Ensuring the accuracy, completeness, and timeliness of data being processed and integrated.

· Troubleshooting and resolving issues related to data pipelines and notebooks.

· Performance benchmarking of data ingestion and Data flow pipeline/notebook and ensuring consistency