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IBM Software Developer - Data Platform Poland, Lesser Poland Voivodeship, Krakow 499275349
The ideal candidate has experience architecting, developing, and supporting large-scale data platforms & infrastructure with a focus on resilience, scalability, and performance within a fast-growing, agile environment.
Responsibilities:
• Develop and maintain the petabyte scale data lake, warehouse, pipelines, and query layers.
•Develop and support multi-region data ingestion system from geographically distributed edge AI systems.
•Develop and support AI research pipelines, training and evaluation pipelines, audio re-encoding and scanning pipelines, and various analysis outputs for business users
•Use pipelines to manage resilient idempotent coordination with external databases, APIs, and systems
•Work with AI Speech and Audio engineers to support and co-develop heterogenous pipelines over large flows of conversation AI data to support and accelerate experimentation with new AI models and improvementsRequired Technical and Professional Expertise
| • 4+ Years Professional Python Experience. • 2+ Years PubSub Experience (Kafka, Kinesis, SQS, MQTT, etc). • 3+ Years working in petabyte scale data platforms. • 3+ Years working in AWS. • Experience building schema-based parsers or ETLs using standard tooling in Python. • Experience developing with Apache Avro, Parquet Schemas, SQLAlchemy (or similar ORMs), and pySpark in Python |
Preferred Technical and Professional Expertise
Professional experience with conversational AI (chatbots, virtual assistants, etc.)
Professional experience developing and supporting large scale Lakehouses
Professional experience architecting and implementing large scale query engines such as Presto
What we offer:
• Working for a top 5 IT company according to Forbes 2022 best employers ranking
• International and prestigious projects
• Highly skilled teams of experts
• Wide range of IBM trainings and certificates
• Unlimited access to Udemy, Harvard Business Review, Safari O’Reilly, getAbstract, IBM AI Skills Academy
And what is more:
• Contract of employment
• Competitive compensation – salary range, depending on your skills and experience
• Private medical care and life insurance
• Employee Assistance Program
• Sport, charity & other networking groups
• Summer / winter camps for children
• Discounts with IBM employee badge
• Referral Bonus Program
• Home office option
• No dress code
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