Pyspark Developer
Capgemini
Date: 2 weeks ago
                            City: Pune, Maharashtra
                                                        Contract type: Full time
                                                    
                                                
                            Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
                    Your Role
- As a Pyspark Data Engineer with a strong focus on distributed data processing and pipeline development.
 - The ideal candidate should have at least 3+ years of hands-on experience in PySpark, with solid programming skills in Python and preferably Scala.
 - The role involves designing and implementing efficient data workflows, contributing to CI/CD and build management strategies, and writing optimized SQL queries using analytical functions. Additionally, the developer is expected to participate in key architectural and technical decisions, collaborating closely with business and technical stakeholders.
 - While prior cloud experience is not mandatory, the role offers an opportunity to get trained on AWS, indicating a forward-looking approach to cloud-based data engineering. This position is well-suited for professionals aiming to deepen their expertise in big data technologies and transition into cloud-native environments. 
 
- As a Pyspark developer you Must have 3+ years in Pyspark.
 - Strong programming experience, Python, Pyspark, Scala is preferred.
 - Experience in designing and implementing CI/CD, Build Management, and Development strategy.
 - Experience with SQL and SQL Analytical functions, experience participating in key business, architectural and technical decisions
 - Scope to get trained on AWS cloud technology
 
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
 - You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
 - We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
 - At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
 
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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