Senior Associate - Data Engineering - Data and Analytics Advisory - Hyderabad

Role Overview: At PwC, as a Senior Associate in data and analytics engineering, you will focus on leveraging advanced technologies to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, facilitating informed decision-making, and driving business growth. Specifically, you will be responsible for designing and building data infrastructure and systems to enable efficient data processing and analysis. Key Responsibilities: - Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. - Implement data ingestion, processing, and storage solutions on the Azure cloud platform, utilizing services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. - Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. - Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. - Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Qualifications Required: - Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. - Hands-on experience with cloud platforms, particularly Azure, and proficiency in Azure services such as Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database. - Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. - Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). - Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Additional Company Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology in an innovative environment, will enable you to make a tangible impact. PwC offers inclusive benefits, flexibility programs, and mentorship to support your wellbeing and professional growth. The company promotes equal employment opportunities and fosters an environment where each individual can contribute authentically. (Note: The additional company details section provides insights into PwC's culture and commitment to diversity and inclusion but can be omitted if needed.) Role Overview: At PwC, as a Senior Associate in data and analytics engineering, you will focus on leveraging advanced technologies to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, facilitating informed decision-making, and driving business growth. Specifically, you will be responsible for designing and building data infrastructure and systems to enable efficient data processing and analysis. Key Responsibilities: - Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources. - Implement data ingestion, processing, and storage solutions on the Azure cloud platform, utilizing services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. - Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements. - Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness. - Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Qualifications Required: - Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark. - Hands-on experience with cloud platforms, particularly Azure, and proficiency in Azure services such as Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database. - Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. - Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL). - Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus. Additional Company Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology in an innovative environment, will enable you to make a tangible impact. PwC offer