KPMG
Senior - Data Engineering
Job Description
- 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
>> Role & Responsibilities
- Maintain high quality coding standards and deliver the work in stipulated time frame.
- Review work of team members and occasionally provide guidance.
- Develop an understanding of Work Breakdown Structure and assist the manager in delivering the same.
- Develop sector initiatives (credential building, knowledge management.).
- Act as a Team lead.
- Being proficient in delivering key responsibilities in line with the project plan.
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