GCP Data Engineer Lead (Chennai, IN)

Atos
Chennai
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: []

Lead the design and delivery of cloud-based data platforms and pipelines, ensuring efficient data modeling and scalable architectures. Use strong programming and database expertise (SQL, Python, and relational/NoSQL systems) to build and optimize ETL/ELT workflows. Leverage big data frameworks (Hadoop, Spark, Kafka) and cloud services (GCP with BigQuery/Dataflow, plus AWS/Azure components) to process large-scale datasets and orchestrate automated workflows with tools like Airflow.

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Atos
Atos
14 hours ago

GCP Data Engineer Lead (Chennai, IN)

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Last checked: 14 hours agoStatus: Live

Job Summary

Lead the design and delivery of cloud-based data platforms and pipelines, ensuring efficient data modeling and scalable architectures. Use strong programming and database expertise (SQL, Python, and relational/NoSQL systems) to build and optimize ETL/ELT workflows. Leverage big data frameworks (Hadoop, Spark, Kafka) and cloud services (GCP with BigQuery/Dataflow, plus AWS/Azure components) to process large-scale datasets and orchestrate automated workflows with tools like Airflow.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design efficient database schemas and data models, ensuring normalization and reliable platform architecture.
  • •Build and integrate ETL/ELT workflows to move and transform data from multiple sources.
  • •Develop and optimize big data processing pipelines using frameworks such as Hadoop, Spark, and Kafka.
  • •Apply cloud platform capabilities to implement and run modern data systems, including GCP services.
  • •Schedule, monitor, and manage data pipelines and automated workflows using orchestration tools like Apache Airflow.

Key Requirements

  • •Proficiency in programming languages such as Python and SQL for automation, data manipulation, and database querying.
  • •Experience with relational and NoSQL databases, including PostgreSQL, MySQL, Oracle, MongoDB, and Cassandra.
  • •Strong hands-on knowledge of ETL/ELT processes to integrate and transform data from disparate sources.
  • •Familiarity with big data technologies such as Apache Hadoop, Spark, and Kafka for processing large datasets.
  • •Experience with cloud data services, including Google Cloud Platform (BigQuery, Dataflow) and exposure to AWS (S3, Redshift) or Azure (Synapse, Data Factory).
Experience:Cloud dataBig data
Tech Stack:PythonSQLJavaScalaPostgreSQLMySQLOracleMongoDBCassandraETLELTApache HadoopSparkKafkaAWS S3AWS RedshiftGoogle Cloud PlatformBigQueryDataflowMicrosoft Azure

Company Brief

Atos
Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bezons, France
Founded: 1997
WebsiteLinkedIn