Senior Python Developer with Data expertise
1 month ago
At Cognizant, our global community sets us apart—an energetic, collaborative and inclusive workplace where everyone can thrive. And with projects at the forefront of innovation, you can build a varied, rewarding career and draw inspiration from dedicated colleagues and leaders. Cognizant is right where you belong.
What you'll do- Develop and maintain software applications using Java, Python, and SQL to ensure strong performance, scalability, and reliability.
- Implement and maintain database solutions on SQL Server, including data modeling, querying, indexing, and optimization.
- Apply Git for version control, managing codebase, and collaborating with other developers in a distributed development environment.
- Practice Test-Driven Development (TDD) and conduct code reviews to enforce coding standards.
- Explore and implement new technologies and frameworks, such as Scala and Hadoop, to improve existing systems or build new capabilities.
- Solve and debug issues, performing root cause analysis and implementing solutions to ensure smooth operation of applications.
- Collaborate with product owners, business analysts, and stakeholders to prioritize and refine the product backlog, ensuring that user stories are well-defined, estimated, and ready for implementation.
- Ability to work in an Agile environment (Scrum/Kanban).
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Minimum six years of experience in software development, proficient in Python, Java, and SQL Server.
- Strong experience in TDD using frameworks like JUnit or pytest.
- Detailed comprehension of Git version control concepts and practical experience in using Git for source code management and collaboration.
- Possessing strong analytical and problem-solving abilities, complemented by excellent communication skills.
- Familiarity with Scala programming language and its ecosystem, including functional programming concepts and frameworks like Akka.
- Strong understanding of the Hadoop ecosystem and its components, like HDFS, MapReduce, Hive, and Spark, is crucial for processing and analyzing data.
- An eagerness to learn and adapt to new technologies, coupled with the capacity to operate both independently and collaboratively, is essential.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
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