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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, and Vadodara.
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.
KPMG Advisory professionals provide advice and assistance to enable companies, intermediaries, and public sector bodies to mitigate risk, improve performance, and create value. KPMG firms provide a wide range of Risk Advisory and Financial Advisory Services that can help clients respond to immediate needs as well as put in place the strategies for the longer term.
Job Title: Data Analyst
Skills: Python + Pyspark + SQL
Location: Bengaluru, Kolkata & Gurugram
Responsibilities
- To build and optimize data pipelines using Python and PySpark, you'll design scalable pipelines, implement transformations, and optimize workflows. You'll monitor and troubleshoot pipelines, collaborate on ML integration, follow best practices, and document processes for future reference.
- To perform data analysis and generate reports, you'll gather and clean data, conduct exploratory data analysis (EDA), and use statistical methods and visualization tools to interpret and present findings.
- Create interactive reports and dashboards, collaborate with analysts and domain experts, address data quality issues, and support ad-hoc analysis requests, all while staying updated on data analysis techniques.
- To write and maintain SQL queries for data extraction, you'll understand data requirements, develop optimized SQL queries, and ensure efficiency and accuracy.
- You'll regularly review and update queries, perform thorough testing and validation, and resolve any discrepancies.
- Collaboration with analysts and developers is essential to meet data needs, while maintaining clear documentation. Staying updated with the latest SQL techniques and best practices is crucial for continuous improvement.
Education Qualification and Experience
- 4-8 years of hands-on experience in Python, PySpark, and SQL, data analysis and pipeline development.
- Proven track record of analyzing large datasets to extract valuable insights and trends.
- Expertise in designing, developing, and maintaining efficient data pipelines capable of processing significant data volumes.
- Experience in data preprocessing, transformation, and integration for analysis and machine learning models.
- Proficiency in using data visualization tools to present findings effectively to stakeholders.
- Strong analytical and problem-solving abilities, with a history of diagnosing and resolving issues in data pipelines.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Excellent communication and teamwork skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their colour, 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 endeavour for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.