Senior - Data and App Modernization at KPMG Delivery Network India 1

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data Engineer, Scala, SQL, Designing Solutions, Data Ingestion, Data Provisioning, Data Processing, Hadoop Data Lake, Batch Workloads, Streaming Workloads, Apache Spark, Debugging, Optimization, Performance Tuning, Spark Jobs, Technical Solutions

Industry

Business Consulting and Services

Description

About KPMG in India * KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. * Must have relevant experience of 2 to 9 years as Big Data Engineer or similar role * Minimum of 2 years of experience in Scala programming and SQL * Experience in designing, modifying, and implementing solutions for ingesting, provisioning, and processing data in Hadoop Data Lake for batch and streaming workloads using Scala & Apache Spark * Experience in debugging, optimization & performance tuning of Spark jobs. * Able to translate functional requirements / user-stories into technical solutions. * Good experience in developing and debugging complex SQL queries to derive business critical insights Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Responsibilities

The role involves designing, modifying, and implementing solutions for ingesting, provisioning, and processing data in a Hadoop Data Lake for both batch and streaming workloads using Scala and Apache Spark. Responsibilities also include debugging, optimization, and performance tuning of Spark jobs, and translating functional requirements into technical solutions.