5 Opening(s)
3.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 18.00 LPA
Responsibilities:
- Design and Build backend of High-Availability scalable systems.
- Able to integrate and work with multiple data sources / databases and creating data pipelines
- Building server-side logic that powers our APIs in production systems on AWS that can scale.
- Collaborate with other team members to engineer creative solutions to unique ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
A successful candidate should come from a strong data engineering background, is self-directed and comfortable supporting the data needs of multiple teams, systems and products. You need to have experience with NoSQL and SQL data structures and be able to analyze/transform the data using various tools. Your analytical skills and ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
Used Python-based data analytics tools like Pandas, SciPy, NumPy, etc.Experience with SQL and NoSQL databasesWorked with Amazon Web Services to run production workloadsKnowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesisExperience designing and troubleshooting integrations with ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 15.00 LPA
Job Description : • Minimum 5+ years of development experience in Python • Development experience in Python library like Pandas, Numpy, JavaScript and any RDBMS Development experience in Odoo ERP software. • Familiarity with API Creation and RESTful services • Strong analytical, problem solving, organizational, and detail oriented skills. • Must be able to work both ...
5 Opening(s)
3.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 9.00 LPA
Jon Description
Job title
Location
Experience
Budget
Data Analyst - Python
CHENNAI
3 – 7 Yrs
till 9 lpa
Work Scope:
Use statistical analysis, machine learning, pattern recognition, and data visualization along with domain knowledge and subject-specific models to solve science, engineering, and commercial problems
Solve challenging data science problems by developing novel and/or adapting existing computational methods
Debugging and performance tweaking ...