Cloud Engineer

20 hours ago

Bangalore Urban, 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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