Data Engineer for Big Data Platforms
6 days ago
About Capgemini
\Capgemini is a global leader in consulting, technology services and digital transformation. We combine our industry expertise with innovation and collaboration to deliver impactful results for clients. Our team of over 350,000 professionals works together with clients to address their digital transformation needs.
\Job Title: Scala/Spark Developer
\Location: Montreal, Quebec (Mandatory In Person Interview in Montreal)
\Salary: $120,000 - $160,000 per year, depending on experience
\About the Job
\We are seeking a highly skilled Scala/Spark Developer to join our team in Montreal. As a Scala/Spark Developer, you will be responsible for delivering high-quality code in a big data platform. You will work closely with our development team to design, develop, and deploy scalable and efficient data processing solutions.
\Responsibilities:
\- \
- Design and develop large-scale data processing systems using Scala and Spark\
- Collaborate with cross-functional teams to identify business requirements and develop technical solutions\
- Perform unit testing and integration testing of developed code\
- Participate in Agile development methodologies and Scrum ceremonies\
- Maintain and improve existing data processing systems\
- Develop automated test suites and ensure code quality\
- Work with stakeholders to gather requirements and provide technical guidance\
- Stay up-to-date with industry trends and emerging technologies\
- Contribute to the development of technical documentation and knowledge sharing within the team\
- Collaborate with other developers to resolve complex technical issues\
- Communicate effectively with non-technical stakeholders to explain technical concepts\
- Participate in code reviews and provide feedback to improve code quality\
- Continuously learn and grow as a developer\
- Suggest process improvements and best practices to enhance team efficiency\\/ul>\
Requirements:
\- \
- 5+ years of experience in software development, preferably with a focus on big data and data engineering\
- Strong proficiency in Scala and Spark\
- Experience with Agile development methodologies and Scrum\
- Good understanding of data structures, algorithms, and computer science fundamentals\
- Familiarity with database systems, such as RDBMS (DB2) databases\
- Excellent communication and teamwork skills\
- Able to adapt quickly to changing priorities and deadlines\
- Passionate about learning new technologies and staying up-to-date with industry trends\\/ul>\
Benefits:
\- \
- Competitive salary and bonus structure\
- Comprehensive health benefits package\
- Flexible work arrangements and remote work options\
- Opportunities for professional growth and development\
- A supportive and inclusive work environment\\/ul>\
Why Choose Capgemini?
\Capgemini is committed to creating a diverse and inclusive workplace where everyone has the opportunity to thrive. We believe in fostering a culture of empathy, respect, and open communication. Our employees enjoy a range of benefits, including flexible work arrangements, comprehensive health benefits, and opportunities for professional growth and development.
\How to Apply
\If you are a motivated and experienced Scala/Spark Developer looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information]. We thank all applicants for their interest; however, only those selected for an interview will be contacted.
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