Technology Consulting-DP Software Engineering Senior

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, 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.

Overview:

Lighthouse, KPMG’s Big Data, AI & Analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics.

• 3 - 6 years of experience in Python
• Good understanding of Big data ecosystems and frameworks such as Hadoop, Spark etc.
• Experience in developing data processing task using PySpark. 
• Expertise in at least one popular cloud provider preferably AWS is a plus.
• Good knowledge of any RDBMS/NoSQL database with strong SQL writing skills 
• Experience on Datawarehouse tools like Snowflake is a plus.
• Experience with any one ETL tool is a plus
• Strong analytical and problem-solving capability
• Excellent verbal and written communications skills
• Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders
• Ability to collaborate effectively across global teams
• Strong understanding of data structures, algorithm, object-oriented design and design patterns
• Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality.
• General knowledge of business processes, data flows and quantitative models that generate or consume data
• Independent thinker, willing to engage, challenge and learn new technologies

• BE/B.Tech/ME/M.Tech/MCA /Any Graduation

EOE KI

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