Job Description :

- Python programming language.

- Concepts like (Multi-threading, Multi-Processing, Regular Expressions, Exception Handling, etc).

- Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc.

- Data Modelling and Data Transformation, Data Processing on Structured and Unstructured data.

- Relational Databases.

- Query Optimization and Query building.

- Experience with ORMs like SQLAlchemy.

- Exposure to databases like : MSSQL, Postgres, Oracle, etc.

Responsibilities :

- Candidate Should Have Strong experience on Python.

- Candidate should be good in Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc.

Requirements :

- Functional and Object Oriented Programming (OOPS).

- Web services technologies (HTTP, SOAP, REST, XML, JSON).

- AWS cloud services : EC2, S3, Batch, ECS, Secret Manager, EMR, etc.

Nice to have :

- Familiar With.

- Natural Language Processing and Classification Algorithms in Data Science.

- Batch Data Processing.

- Scheduling.

- Software Programming Principles.

We offer :

- Opportunity to work on bleeding-edge projects.

- Work with a highly motivated and dedicated team.

- Competitive salary.

- Flexible schedule.

- Benefits package medical insurance, sports.

- Corporate social events.

- Professional development opportunities.

- Well-equipped office.

About Us :

- Grid Dynamics (NASDAQ : GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.

- Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.

- A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience.

- Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.