Snowflake Data Engineer in Data&AI (She/He/They)

41_R00182199

Obowiązki

• You will work with business stakeholders, solution architects and technical area leads to identify real-world problems and propose advanced solutions supporting day-to-day decision-making in various functional areas.

• You will be involved in the design and implementation of complex technical architectures based on Snowflake technology, AWS/Azure/GCP cloud platforms, and other components of our clients’ modern technology stack from FMCG, Life Science, Banking and Insurance industries.

• You will help to define short- and long-term roadmaps for data platforms or their specific areas.

• You will be involved in technology and methodology evaluation for various clients’ analytical use cases, eg. including Data Mesh and AI-led applications.

• You will be involved in POV and POC activities.

• You will contribute to the growth of Snowflake technology practice and participate in the roadmap and go-to-market strategy definition.

Wymagania

• Work on projects for international clients, expanding your data skill set.

• Gain insights and support from a diverse team of over 250 Data-enthusiasts. Access continuous learning through workshops and skill-building initiatives.

• Thrive in an exciting workplace that values and celebrates diverse perspectives. Contribute to a creative environment where your ideas are welcomed.

Oferujemy

• A desire to develop competencies in cloud technologies and learn new tools.

• The ability to build client relationships and work effectively in a team.

• Proficiency with Snowflake technology.

• Familiarity with at least one cloud platform (AWS, Azure, GCP).

• Strong practical knowledge of SQL and PL/SQL.

• Understanding of Data & Analytics concepts.

• Knowledge of data security and data management principles.

• Ability to analyze data from various sources and interpret technical documentation.

• Excellent command of spoken and written English (B2 level).

• Knowledge of at least one of the following technologies/methodologies will be an additional advantage: Python, Streamlit, Matillion, DBT, Atlan, Terraform, Kubernetes, Data Vault, Data Mesh.

Źródło: Accenture/Praca