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About the Role
Join Capgemini, a market leader in the data, platform, and analytics sectors, as a Data Engineer. This position plays a pivotal role in driving data-driven decision-making processes within the organization, leveraging your expertise in cloud technologies and data architecture.

Your Responsibilities

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines using cloud-native tools.
• Implement best practices for data ingestion, transformation, and loading processes across multiple sources.
• Automate workflows and develop data pipelines using tools such as Apache Airflow, Glue, Databricks, or Dataflow.
• Architect and maintain cloud-based data solutions using major platforms such as AWS, Azure, or Google Cloud Platform.
• Optimize cloud infrastructure for cost, performance, and security.
• Implement monitoring, logging, and alerting solutions for data pipelines and cloud infrastructure.

Your Skills and Experience

• Bachelor's degree in data science, Analytics, Business, or a related field. Advanced degrees or certifications are a plus.
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong programming skills in Python, Java, Scala, or SQL.
• Experience with big data tools like Hadoop, Spark, Kafka, etc.
• Knowledge of various databases (PostgreSQL, MongoDB, Cassandra).

Why Capgemini?
By becoming part of our diverse team, you will leverage technology in innovative ways to help our clients grow and thrive in a sustainable manner. Through collaboration and learning, you will enhance your skills and contribute positively to our clients' journeys towards digital and sustainable transitions.