Experience working in Google environment and building applications and integrations using tools such as Replicator ( built on Apache Beam ) is preferred
Responsibilities
Design, develop, and maintain data pipelines to integrate data from various cloud platforms (eg Google Cloud) and systems
Build integration points between data in one environment and software in another to ensure seamless data flow and interoperability.
Collaborate with cross-functional teams to understand data requirements and ensure data quality and integrity.
Qualification and Experience
Expertise with programming languages such as Java is mandatory.
SQL and ETL tools (e.g., Apache NiFi, Talend, Informatica).
Experience with data processing technologies and platforms (e.g., Apache Beam, Dataflow, Hadoop, Spark) - Streaming and batch pipeline creation is mandatory.
Experience with real-time data processing and streaming technologies (e.g., Kafka, Pub/Sub).
API design principles and best practices for performance and scalability.
Familiarity with cloud platforms (GCP) and associated data services
Experience in building scalable solution in large distributed systems
Numbers & Facts
Location
San Jose, CA
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Apacheunmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Application Integrationunmatched
Application Programming Interface (API)unmatched
Best Practicesunmatched
Cloud Computingunmatched
Cross-Functionalunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
Distributed Computingunmatched
GCP (Good Clinical Practices)unmatched
Informaticaunmatched
Interoperabilityunmatched
Javaunmatched
Programming Languagesunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Streaming Technologyunmatched
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