Big Data Developer
2 days ago
- Database Expertise:
Strong hands-on experience with Greenplum, Teradata, MongoDB, and Oracle for data modelling, querying, and performance optimization.
- Streaming & Real-Time Data:
Proficient in Apache Kafka for building and managing real-time data streaming pipelines.
Data Integration & ETL Tools:
Informatica: Experience with HTTP Transformation for REST APIs, XML Transformation, and OAuth-based authentication.
StreamSets: Skilled in using components like HTTP Client Processor with OAuth2 authentication for API integration.
Big Data & Lakehouse Technologies:
i. Strong development experience with PySpark for distributed data processing.
ii. Familiarity with Apache Iceberg for managing large-scale, transactional datasets in Lakehouse architectures.
Scripting & Automation:
Advanced scripting skills in Python and Unix/Linux shell for automation, data manipulation, and workflow management.
Proven ability to debug and promote fixes under high-priority scenarios.
Data Replication:
Basic working knowledge/Understanding of Oracle Goldengate and CDC frameworks for data replication across heterogeneous systems.
Workflow Orchestration:
Experience with Control-M and Apache Airflow for scheduling, monitoring, and managing complex/custom data workflows.
Cloud & DevOps:
Familiarity with CI/CD tools and AWS ECS for containerized deployments and continuous integration.
Soft Skills:
Strong problem-solving and debugging capabilities.
Flexible and dependable in supporting teams during critical issue resolution and extended hours when needed.
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Big Data Developer
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Big Data Developer
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