Data Engineer - Manager

The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required.

Bachelor s or master s degree in computer science, Information Technology, or a related field.

Key Responsibilities:

• Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks

• Deploy and provide support for application codes and analytical models
• Create and enhance data solutions that enable seamless integration and flow of data across the data ecosystem
• Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs
• Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python and Hadoop Platform and any Cloud Data Platform
• Utilize multiple development languages/tools such as Python, SPARK, Hive, Presto, Java to build prototypes and evaluate results for effectiveness and feasibility
• Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity
• Offer system support as part of a support rotation with other team members
• Operationalize open source data-analytic tools for enterprise use
• Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification
• Understand and follow the company development lifecycle to develop, deploy and deliver the solutions
• Designs and develops data ingestion frameworks leveraging open source tools and data processing frameworks
• Designs and develops complex and critical data projects
• Develops, implements, and supports application codes and analytical models
• Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem
• Designs and develops real time processing solutions