Senior Big Data Engineer
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
Essential functions
- Candidate Should Have Strong experience on Python
- Candidate should be good in Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc.
Qualifications
- 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.
Would be a plus
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.
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