Senior Data Engineering

3 weeks ago


Minneapolis, United States CareerBuilder Full time

Publicis Sapient is looking for a looking to add a talented Cloud Engineer to our team. This is a hands-on role, responsible for driving the architecture, design, and implementation of Snowflake for our clients. You will also apply your cloud expertise to business development and pitch activities.
Your Impact:

Play a key role in delivering data-driven interactive experiences to our clients

Work closely with our clients in understanding their needs and translating them to technology solutions

Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs

Problem solving to resolve issues and remove barriers throughout the lifecycle of client engagements

Ensuring all deliverables are high quality by setting development standards, adhering to the standards and participating in code reviews

Participate in integrated validation and analysis sessions of components and subsystems on production servers

Qualifications
Experience in the implementation, execution, and maintenance of Data Integration technology solutions

Experience advancing and supporting information management practices within business processes, applications and technology that underpin the data discipline (e.g. establishing data quality processes, performing data analysis, participating in technology implementation planning, implementing data integration processes, etc)

Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures and standard DWH and ETL concepts

Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these features

Experience in Data Migration from RDBMS to Snowflake cloud data warehouse

Experience with enterprise cloud economics

Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)

Hands-on expertise with SQL and SQL analytics

Industry benchmarking experience in major industries such as: Financial Services and Retail

Set Yourself Apart With:

Certifications for any of the cloud services like AWS, Snowflake, GCP or Azure

Experience working with code repositories and continuous integration

Understanding of development and project methodologies

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