Job Description

Roles & responsibilities
The Senior Associate 2 - will be part of the GDC Technology Solutions (GTS) team, working in a technical role in the Audit Data & Analytics domain that requires developing expertise in KPMG proprietary D&A (Data and analytics)) tools and audit methodology. He/she will be a part of the team responsible for extracting and processing datasets from client ERP systems (SAP/Oracle/Microsoft Dynamics) or other sources to provide insights through data warehousing, ETL and dashboarding solutions to Audit/internal teams and be involved in developing solutions using a variety of tools & technologies.
The Senior Associate 1 will be predominantly responsible for:
Power BI
Design and develop visuals, reports, and dashboard solutions in Power BI with RLS and other features as per business needs.
Hands on experience connecting to various data sources to load and transform data and Implement complex joins with multiple tables, using power query.
Highly skilled in writing DAX expressions to implement complex business calculations and data modeling needs.
Capable of developing standard data models like star schema or snowflake schema considering multiple fact and dimension tables.
Strong understanding of data structures, Data Analysis skills in identifying different trends, patterns, and other data issues within dataset and a good story telling skill using the given data.
Prepare technical specifications and documentation for solutions.
Understand business process & translate business logic into visual representations in a quick and accurate manner, perform end to end data validations.
Being proactive and engaged in bringing new ideas and solutions

Data Engineering
Design, develop, and maintain scalable and efficient data pipelines to process large datasets from various sources using Azure Data Factory (ADF) and Databricks.
Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
Integrate data from multiple data sources and ensure data consistency, quality, and accuracy, leveraging Azure Data Lake Storage (ADLS).
Develop and manage data warehouses to store and organize large volumes of structured and unstructured data using Azure Synapse Analytics and other relevant Azure services.
Optimize data storage and retrieval mechanisms for performance and scalability.
Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.
Build and maintain integrations with internal and external data sources and APIs.
Implement RESTful APIs and web services for data access and consumption.
Ensure compatibility and interoperability between different systems and platforms.

Roles & responsibilities
Optimize data storage and retrieval processes to enhance system performance and reduce latency.
Experience with Databricks notebooks for building transformations and creating tables.
Utilize Databricks notebooks to build and manage data transformations, create tables, and ensure data quality and consistency. Leverage Unity Catalog for data governance and maintaining a unified data view across the organization.

Roles & responsibilities
The Senior Associate 2 - will be part of the GDC Technology Solutions (GTS) team, working in a technical role in the Audit Data & Analytics domain that requires developing expertise in KPMG proprietary D&A (Data and analytics)) tools and audit methodology. He/she will be a part of the team responsible for extracting and processing datasets from client ERP systems (SAP/Oracle/Microsoft Dynamics) or other sources to provide insights through data warehousing, ETL and dashboarding solutions to Audit/internal teams and be involved in developing solutions using a variety of tools & technologies.
The Senior Associate 1 will be predominantly responsible for:
Power BI
Design and develop visuals, reports, and dashboard solutions in Power BI with RLS and other features as per business needs.
Hands on experience connecting to various data sources to load and transform data and Implement complex joins with multiple tables, using power query.
Highly skilled in writing DAX expressions to implement complex business calculations and data modeling needs.
Capable of developing standard data models like star schema or snowflake schema considering multiple fact and dimension tables.
Strong understanding of data structures, Data Analysis skills in identifying different trends, patterns, and other data issues within dataset and a good story telling skill using the given data.
Prepare technical specifications and documentation for solutions.
Understand business process & translate business logic into visual representations in a quick and accurate manner, perform end to end data validations.
Being proactive and engaged in bringing new ideas and solutions

Data Engineering
Design, develop, and maintain scalable and efficient data pipelines to process large datasets from various sources using Azure Data Factory (ADF) and Databricks.
Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
Integrate data from multiple data sources and ensure data consistency, quality, and accuracy, leveraging Azure Data Lake Storage (ADLS).
Develop and manage data warehouses to store and organize large volumes of structured and unstructured data using Azure Synapse Analytics and other relevant Azure services.
Optimize data storage and retrieval mechanisms for performance and scalability.
Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.
Build and maintain integrations with internal and external data sources and APIs.
Implement RESTful APIs and web services for data access and consumption.
Ensure compatibility and interoperability between different systems and platforms.

Roles & responsibilities
Optimize data storage and retrieval processes to enhance system performance and reduce latency.
Experience with Databricks notebooks for building transformations and creating tables.
Utilize Databricks notebooks to build and manage data transformations, create tables, and ensure data quality and consistency. Leverage Unity Catalog for data governance and maintaining a unified data view across the organization.

Education Requirements
B. Tech/B.E/MCA (Computer Science / Information Technology)