We are growing fast - and we invite you to grow with us. In Innowise, you can not only develop as an expert in your field, solve complex problems and influence the result, but also see how the finished project affects the world around. We are a close-knit team of professionals who have already implemented 800+ cases for clients from the USA, Denmark, Germany, etc. We need someone, who will strengthen our team and become part of the community!

To be successful on projects you need:

5 years of experience or more;
Strong knowledge in data architecture design and development, including the use of architectural frameworks and methodologies such as TOGAF, Zachman or others
Experience with relational and NoSQL databases (e.g. PostgreSQL, MySQL, MongoDB, Cassandra, etc.)
Knowledge of ETL/ELT Pipelines and experience in developing them
Proficiency in SQL
Programming experience in Python or other languages used for data processing
Experience with big data and related technologies (e.g. Hadoop, Spark)
Strong understanding of data warehousing principles and data optimization techniques
Knowledge of English at Intermediate level or above
Knowledge of regulatory requirements such as GDPR, CCPA and other data protection standards

Would be a plus:

Experience with cloud platforms (e.g. AWS, Google Cloud, Azure)
Knowledge of DevOps practices and tools (e.g. Docker, Kubernetes)
Experience with data quality and data integration tools
Basic knowledge of machine learning and data analytics
Experience with metadata management and data cataloguing tools
Developing and maintaining a data architecture that ensures the efficiency and reliability of the company's data systems
Analyzing business requirements and translating them into technical solutions
Optimizing and supporting ETL/ELT processes

What to do:

Develop and implement data models to ensure data quality and availability
Collaborate with cross-functional teams to ensure project objectives are met
Ensuring data security and compliance with regulatory requirements such as GDPR
Participating in customer pre-sales and outreach: assessing customer requirements (RFPs), estimating and leading the assessment team, proposing solutions and presenting them, creating MVPs and conducting POCs to demonstrate solutions, ensuring data is stored securely and optimized
Ensuring reliable data storage and optimization