Job Information
IBM ML Data Engineer in Krakow, Poland
Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
This role primarily focuses on developing ML solutions which leverage data from our products to drive insights and decision-making for our customers. The core responsibilities of the role involve supporting the automation, development and implementation of machine learning and deep learning models, management of big data infrastructure, and execution of data engineering tasks. The successful candidate will be part of our AI/ML development team who design, create, and support AI-driven products to deliver impactful AI solutions.
Your role and responsibility will encompass:
Implementing solution for data engineering in data science / machine learning domain
Designing, developing, and implementing end-to-end data solutions (storage, integration, processing, access)
Architecting and implementing ETL and data movement solutions
Designing and implementing high velocity streaming solutions
Creating conceptual logical and physical data models
Migrating data from traditional relational database systems to relational databases such as Azure SQL and Azure Synapse
Implementing ad-hoc analysis solutions
Ensuring platforms and tools meet or exceed data security standards, including internal and external audits performed
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
Access to Udemy, Harvard Business Review, O'Reilly, Interskill, 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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Required Technical and Professional Expertise
Minimum 5 years' working experience in data modelling, ETL & ETL tools
Demonstrate capability in data lake, data warehousing, data integration, data migration tools knowledge, data quality and profiling skills
Experienced in relational database such as SQL server, Postgres, DB2, Oracle, etc
Experienced in noSQL databases such as MongoDB, Cassandra, Hadoop,
Experienced in a programming language such as Python, Java, C/C++ Possesses knowledge in processing, transferring and reducing large volumes of data while maintaining high performance.
Possesses experience of having solved complex analytical and technical problems
Linux skills, preferably in RHEL
Proficient in both spoken and written English
Preferred Technical and Professional Expertise
Preferred experience in one or more cloud data platform such as IBM Cloud, AWS, Azure, GCP
Preferred experience in collaboration with data scientist in data exploration and machine learning
Experience with data visualization tools such as Tableau or Power BI.
Certification in data engineering, machine learning, or AI.
About Business UnitIBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
Your Life @ IBM
About IBM
Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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