Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society.

Atos also provides consulting and advisory services through its Atos Amplify brand.A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos

Group

Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

: Core Technical Skills

Programming Languages: Proficiency in languages like Python and SQL is essential for automation, data manipulation, and querying databases.



Knowledge of Java or Scala may be needed for big data frameworks.Database Management: Expertise in both relational (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial for managing diverse data storage solutions.ETL/ELT Processes: Strong understanding and hands-on experience with Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) tools and techniques to integrate performance data from disparate sources.Big Data Technologies: Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling and processing massive datasets, especially in large enterprise environments.Cloud Platforms: Experience with major cloud services such as AWS (S3, Redshift), Google Cloud Platform (BigQuery, Dataflow), or Microsoft Azure (Synapse, Data Factory), as most modern data systems are cloud-based.Data Modeling and Architecture: Ability to design efficient database schemas, understand data normalization, and architect scalable and reliable data platforms (data warehouses, data lakes, lakehouses).Workflow Orchestration: Experience with tools like Apache Airflow to schedule, monitor, and manage complex data pipelines and automated workflows Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Setting, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future.

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📌 GCP Data Engineer Lead (Chennai)
🏢 Atos
📍 Chennai