Senior - Data Engineering

Bangalore, Karnataka, India

KPMG India

Welcome to KPMG International.

View all jobs at KPMG India

Apply now Apply later

  • 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.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: AWS Big Data Data quality Engineering ETL Hadoop NoSQL PySpark Python RDBMS Snowflake Spark SQL

Region: Asia/Pacific
Country: India

More jobs like this