Description

You will design and oversee the implementation of intelligence and AI solutions across multi-cloud environments.

Responsibilities

• Architect AI and intelligence solutions on GCP, AWS, and Azure boundaries.
• Ensure system availability, scalability, performance, security, and resilience for structured and unstructured data.
• Manage data flow across diverse sources and targets using various cloud services.
• Optimize data pipelines and storage strategies across multiple database engines and big data frameworks.

Required Skills

• 5+ years of experience in data architecture or engineering roles.
• Hands-on experience with DynamoDB, Oracle, Teradata, MySQL, DB2, or SQL Server.
• Proficiency with cloud data services including Athena, Glue, Sqoop, Flume, Hive, and Kafka.
• Experience with stream processing using Pub-Sub, Kinesis, or Dataflow.
• Knowledge of orchestration and processing tools like Airflow, Composer, Spark SQL, Presto, and EMR.
• Familiarity with BI tools such as SAP BO, Cognos, or Superset.
• Ability to design for high availability and resilience in cloud-native environments.

Preferred Skills

• Deep expertise in managing complex data ecosystems across GCP, AWS, and Azure simultaneously.

Key Skills

Education

Any Graduate