Hr Data Cloud Engineer Job in Capgemini Invent

Job Title: Senior Cloud Data Engineer

Experience: 10+ Years

Location: Bengaluru

About Capgemini Invent:

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next.

Your Role:

As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services.
• Optimize data storage and retrieval processes to ensure efficiency and accessibility.
• Ensure data security and compliance with industry standards, including data privacy laws.
• Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility.
• Develop and refine data processes for data modeling, mining, and production.
• Implement quality checks, data validation, and monitoring of data flows.
• Collaborate with data scientists, analysts, and IT teams to meet data requirements.
• Work closely with data architects and modelers on project objectives and solutions.
• Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization.
• Develop and implement disaster recovery procedures to safeguard data.
• Ensure seamless integration of HR and other business data into cloud-based environments.
• Research new opportunities for data acquisition and discover additional uses for existing data.
• Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI.
• Recommend and implement improvements to enhance data reliability, efficiency, and quality.

Your Profile:

• 10+ years of experience in cloud data engineering.
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies.
• Strong programming skills in Python, SQL, Java, or Scala.
• Familiarity with Snowflake, Informatica, or similar tools is an advantage.
• In-depth knowledge of data privacy laws, security best practices, and data governance.
• Expertise in analyzing and interpreting complex datasets to derive actionable insights.
• Strong communication, collaboration, and problem-solving skills.
• Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems.
• Passion for learning and keeping up with emerging technologies, particularly in Generative AI.
• Experience working in an Agile framework and managing multiple projects simultaneously.
• Ability to adapt to evolving priorities and business needs.

What You Will Love About Working Here:

• Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance.
• Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills.
• Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve.

About Capgemini:

Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.