Senior - Python+SQL

KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of 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 in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Our professionals provide the experience to help companies stay on track and deal with risks that could unhinge their business survival. Our services enable clients to effectively co-ordinate their key growth, quality and operational challenges and working in partnership with us, clients have the benefits of KPMG's experienced, objective, and industry-grounded viewpoints. 

• 2 - 7 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

B.tech/BE

EOE KI

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