CAPGEMINI IS HIRING FOR DATA ENGINEERING (0-2 YEARS EXP)
Capgemini Engineering, a global leader in engineering services, is seeking talented Data Engineers with 0 to 2 years of experience to join their dynamic team in Bengaluru. This is an exceptional opportunity to be part of a company that drives innovation across industries, from autonomous vehicles to life-saving robots. Capgemini is dedicated to helping companies worldwide harness their potential through cutting-edge technology and engineering services. If you are passionate about data engineering and want to contribute to transformative projects, this role could be the perfect fit for you.
About Capgemini Engineering
Capgemini Engineering is at the forefront of global innovation, providing engineering services that push the boundaries of what’s possible. With a team of engineers, scientists, and architects, Capgemini partners with the world’s most innovative companies to deliver R&D and engineering services across various industries. Their expertise spans digital and software technologies, allowing them to create unique solutions that meet the needs of their clients.
Job Description: Data Engineer
As a Data Engineer at Capgemini in Bengaluru, you will be responsible for developing and maintaining data solutions that support various business functions. This role requires expertise in Python and popular machine learning libraries, as well as a strong understanding of data modeling and database management. You will be working in an Agile scrum team, collaborating with other engineers to deploy machine learning models and optimize data retrieval processes.
Primary Skills Required:
- Python Coding Excellent coding skills in Python are essential for this role.
- Communication Skills Strong communication skills are necessary to collaborate effectively with team members and stakeholders.
- Data Modeling Proficiency in data modeling and the use of popular machine learning libraries and frameworks is required.
Key Responsibilities:
- You will need expert knowledge in Python, utilizing it for data analysis, model development, and automation of data pipelines.
- The role requires proficiency in popular machine learning libraries and frameworks, such as TensorFlow, Keras, and scikit-learn. You will apply clustering and classification algorithms to solve complex problems, including image recognition and natural language processing.
- Strong proficiency in both relational and non-relational databases, such as MySQL, is essential. You will design database schemas and optimize queries for efficient data retrieval.
- The position demands expertise in Object-Oriented Analysis and Design, as well as skills in multi-threading, multi-process handling, and memory management.
- You will work within an Agile scrum team, using version control systems like Git for collaborative development. Your experience in Agile environments will be crucial for successful project delivery.
- You will be responsible for deploying machine learning models to production environments, ensuring they perform reliably and efficiently.
- Knowledge of model evaluation metrics and techniques is necessary to assess the performance of your machine learning models.
Capgemini offers a career full of opportunities where you can make a difference and contribute to groundbreaking projects. The company’s culture encourages innovation, collaboration, and continuous learning. As a Data Engineer at Capgemini, you will have the chance to work on diverse projects that challenge you to think outside the box and apply your skills in new ways.
Capgemini’s commitment to diversity and inclusion ensures that you will be part of a team that values different perspectives and experiences. This diversity is key to the company’s ability to innovate and deliver high-quality solutions to its clients.
Capgemini’s Global Impact
Capgemini’s impact extends far beyond the engineering services they provide. The company is a leader in digital and sustainable transformation, helping organizations navigate the complex challenges of the modern world. With a strong heritage of over 55 years, Capgemini is trusted by clients to address their business needs across the entire value chain. From strategy and design to engineering and implementation, Capgemini leverages its market-leading capabilities in AI, cloud, and data to deliver end-to-end services and solutions.
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