Fabric Data Engineer - Assistant Manager
Bangalore, Karnataka, India
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, 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-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
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.
Role – Fabric Data Engineer
Location – Bangalore
Experience – 6 to 8 Years
Key Responsibilities :-
- 6+ years of experience as a Data Platform Architect, with demonstrated expertise in designing, managing, and optimizing data warehouses, lakes, and lakehouses.
- Proficiency with data storage formats such as Parquet, ORC, and AVRO, as well as storage layers like Delta Lake and other transactional storage solutions
- In-depth knowledge of data technologies, including Databricks, Snowflake, and similar platforms
- Strong understanding of Business Intelligence (BI) tools such as Power BI, Tableau, and other analytics tools
- Experience with data integration and ETL tools such as Azure Data Factory, Talend, Ab Initio, or equivalent
- Proven experience with Microsoft Fabric or similar data platforms
- Python + Spark is must.
- Advanced SQL skills and solid expertise in database design principles
- Experience in data modeling, particularly in data warehouse and lakehouse design
- Knowledge of the Azure Cloud Platform, especially in relation to data warehousing and storage solutions
- Background in data integration and engineering, including familiarity with data pipelines and storage optimization.
- Strong grasp of data governance, data security, and compliance requirements
- Problem-solving skills with a track record of resolving complex technical issues.
- Excellent communication skills, capable of conveying technical concepts to both technical and non-technical stakeholders.
- Ability to work independently and as part of a collaborative team.
- Microsoft certifications in data-related fields are preferred.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Equal Opportunity Employer:
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Avro Azure Business Intelligence Computer Science Databricks Data governance Data pipelines Data warehouse Data Warehousing Engineering ETL Parquet Pipelines Power BI Python Security Snowflake Spark SQL Tableau Talend Testing
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