Cloud Engineer

2 weeks ago

Bengaluru, Karnataka, India Tredence Inc. Full time


• Design and implement scalable batch and real-time data pipelines using Apache Iceberg, AWS services, and streaming technologies bi-directional data synch mechanisms.


• Lead data migration projects from Oracle to cloud-native data lakes and warehouses.


• Architect and manage real-time data ingress and egress using tools like Kafka, Kinesis, or Flink.


• Build and maintain data abstraction layers (e.g., APIs, semantic layers) to enable secure and simplified data access.


• Optimize data storage, partitioning, and schema evolution strategies in Iceberg.


• Leverage Presto/Trino for federated querying and interactive analytics across heterogeneous data sources.


• Collaborate with business, data scientists, analysts, and engineers to deliver high quality, reliable data solutions.


• Implement robust monitoring, alerting, and data quality frameworks.

Required Qualifications:


• Strong production experience with Apache Iceberg and AWS data stack (S3, Glue, Athena, EMR, Redshift).


• Hands-on experience with real-time data processing using Kafka, Kinesis, Flink, or Spark Structured Streaming.


• Proven expertise in data migration from Oracle, including schema translation and performance optimization.


• Proficiency in SQL, Python, and Spark.


• Experience with Presto or Trino for distributed querying and federated data access.


• Familiarity with building data abstraction mechanisms ,API, Stored Procedures.


• Experience with CI/CD, infrastructure-as-code (Terraform, CloudFormation), and DevOps practices.


• Strong understanding of data governance, security, and compliance in cloud environments.

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