Posted:1 week ago|
Platform:
Work from Office
Full Time
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 Qualification Bachelor s degree or master s in computer science or related field. Certification from professional bodies is a plus. SELECTION PROCESS Candidates should expect 3 - 4 rounds of personal or telephonic interviews to assess fitment and communication skills .
KPMG India
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
12.0 - 17.0 Lacs P.A.
Bengaluru
6.0 - 10.0 Lacs P.A.
8.0 - 9.0 Lacs P.A.
8.0 - 9.0 Lacs P.A.
Hyderabad
11.0 - 12.0 Lacs P.A.
18.0 - 20.0 Lacs P.A.
15.0 - 19.0 Lacs P.A.
11.0 - 16.0 Lacs P.A.
20.0 - 25.0 Lacs P.A.
Bengaluru
12.0 - 14.0 Lacs P.A.
