Keyrus USA

We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.. Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.. Data cataloging and lineage. Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse). Proficiency in developing ELT pipelines (Talend, Glue, ADF)

data solutions architect

WHO WE ARE:
Keyrus US is part of the Keyrus entity - a global data analytics consultancy with over 25 years of experience - and over 3,000 consultants in 26 countries. We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science. Keyrus US is at an exciting time! We’re aligning with the Keyrus Americas team, including US/Canada/Latam to leverage our offerings, clients, and team members. THE ROLE:
As a part of the Keyrus team, you will:
Technical/Development: Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.
Gather and clarify requirements from stakeholders.
Lead design and development of data solutions.
Data extraction and ingestion methods
Data loading patterns
Data modelling
Process orchestration
Converting business logic to technical specifications
Data security
Take ownership of technical processes
Code reviews
Data platform architecture: Data Security, Data sharing, Role and data object provisioning
ELT performance tuning
Data cataloging and lineage
REQUIREMENTS:
5+ years of experience in data engineering, preferably in consulting
Data warehouse modelling techniques (star schema, 3 rd normal form, data vault, data lakehouse)
Advanced knowledge of SQL
Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse)
Proficiency in developing ELT pipelines (Talend, Glue, ADF)
Storing, organizing, and archiving data within a data lake (S3, ADLS)
Cloud platform data services (S3, Lambda, EC2, Step Functions or other cloud equivalents)
Access control and data sharing
Excellent communication and organization skills
Object Oriented Programming experience is a plus (python, scala, java)
Eligibility to work in the US without sponsorship is required. #J-18808-Ljbffr

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