Senior Associate Azure Data Engineer

Job SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. ResponsibilitiesAnalyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics.Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloudbased data warehousing and ETL.Maintain best practice standards for the development or cloudbased data warehouse solutioning including naming standards.Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks.Integrating the endtoend data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained.Working with other members of the project team to support delivery of additional project components (API interfaces).Evaluating the performance and applicability of multiple tools against customer requirements.Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.Integrate Databricks with other technologies (Ingestion tools, Visualization tools).Mandatory SkillsProven experience working as a data engineer.Highly proficient in using the Spark framework (Python and/or Scala).Extensive knowledge of Data Warehousing concepts, strategies, methodologies.Direct experience building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).Handson experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics.Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service.Designing and building data pipelines using API ingestion and Streaming ingestion methods.Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code.Thorough understanding of Azure Cloud Infrastructure offerings.Strong experience in common data warehouse modeling principles including Kimball.Experience developing security models.Databricks & Azure Big Data Architecture Certification (plus).ADE, ADB, ADF.Preferred SkillsADE, ADB, ADF.Working knowledge of Python.Experience38 years of experience.EducationBE, B.Tech, MCA, M.Tech.Master of Engineering, Bachelor of Engineering.EEO StatementAt PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. ResponsibilitiesAnalyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced a