Data Engineer
Apply NowCompany: Edward Jones
Location: Minneapolis, MN 55407
Description:
Everything highlighted is a must. Please note candidates in MN are the first preference, but at the least they need to be able to relocate to MN. Everything in bold is a MUST
1.Req: Data Engineer -
Location: Minneapolis, MN
Duration: 6 months with a possible extensions
Notes from call:
Jim's team focuses on the back of the house. Data strategy has matured to be technical and analytical. They use digital twin, supplier twin, and plant twin. They are full service BI. They are getting data out of legacy source servers (structured and unstructured) putting it into pipelines. Jim wants this person to understand to data when they are moving it around. This is for internal clients.
They want thinkers, someone that can come in and be collaborative
They are focusing on Azure not AWS
Top 3 skills:
o Classic SQL server management
o Experience with snowflake
o Some exposure to analytics
Python or R
o Agile team environment
Team size:
o Including contract resources - 15 people
o Data scientist work closely with data engineers
Want someone local to MN
Interview process:
o Two sessions (first screen with Jim)
Remote for now but hoping to go into locations soon
Job Description:
Data & Analytics team works with business leaders across the enterprise to drive optimized strategy using data. This position contributes to the client's success by building cloud-based data services for analytic solutions. You will build data pipelines that are scalable, repeatable, secure and adhere to data quality standards. Responsibilities also include evangelizing data on cloud solutions with customers, leading business and IT stakeholders through designing a robust, secure and optimized Azure architecture, and delivering the target solution. This role will involve working with customers and collaborating with internal engineering teams, development of new application functionality, as well as maintenance and support of source code for existing Azure and Snowflake data platforms using the Azure data services.
RESPONSIBILITIES:
1. Translate business requirements into technical requirements to ensure solutions meet business needs
2. Analyze, design, build, query, troubleshoot and maintain data pipelines (Azure Data Factory, Snowflake, Azure SQL)
3. Design and develop cloud data stores (Snowflake, Azure SQL)
4. Integrate API (Services) to the data management platform
5. Ability to gather requirements, design and execute a solution end to end
6. Investigate new technologies to improve data pipelines
QUALIFICATIONS:
1. Bachelor's degree in computer science, management information systems, or related, or equivalent experience
2. Experience using Microsoft Azure for Data and Analytics solutions (Data Lake Store, Blob, SQL, Functions, Data Factory) 2+ years
3. Expertise in languages like SQL, Python, R 1+ Years
4. Web Application security, SSL, Active Directory, Auth0 Familiarity Desirable
5. 2+ years overall Data Engineering experience
6. Preferred experience with Streaming Analytics, No SQL database (Cosmos preferred), Data Warehousing & Reporting
1.Req: Data Engineer -
Location: Minneapolis, MN
Duration: 6 months with a possible extensions
Notes from call:
Jim's team focuses on the back of the house. Data strategy has matured to be technical and analytical. They use digital twin, supplier twin, and plant twin. They are full service BI. They are getting data out of legacy source servers (structured and unstructured) putting it into pipelines. Jim wants this person to understand to data when they are moving it around. This is for internal clients.
They want thinkers, someone that can come in and be collaborative
They are focusing on Azure not AWS
Top 3 skills:
o Classic SQL server management
o Experience with snowflake
o Some exposure to analytics
Python or R
o Agile team environment
Team size:
o Including contract resources - 15 people
o Data scientist work closely with data engineers
Want someone local to MN
Interview process:
o Two sessions (first screen with Jim)
Remote for now but hoping to go into locations soon
Job Description:
Data & Analytics team works with business leaders across the enterprise to drive optimized strategy using data. This position contributes to the client's success by building cloud-based data services for analytic solutions. You will build data pipelines that are scalable, repeatable, secure and adhere to data quality standards. Responsibilities also include evangelizing data on cloud solutions with customers, leading business and IT stakeholders through designing a robust, secure and optimized Azure architecture, and delivering the target solution. This role will involve working with customers and collaborating with internal engineering teams, development of new application functionality, as well as maintenance and support of source code for existing Azure and Snowflake data platforms using the Azure data services.
RESPONSIBILITIES:
1. Translate business requirements into technical requirements to ensure solutions meet business needs
2. Analyze, design, build, query, troubleshoot and maintain data pipelines (Azure Data Factory, Snowflake, Azure SQL)
3. Design and develop cloud data stores (Snowflake, Azure SQL)
4. Integrate API (Services) to the data management platform
5. Ability to gather requirements, design and execute a solution end to end
6. Investigate new technologies to improve data pipelines
QUALIFICATIONS:
1. Bachelor's degree in computer science, management information systems, or related, or equivalent experience
2. Experience using Microsoft Azure for Data and Analytics solutions (Data Lake Store, Blob, SQL, Functions, Data Factory) 2+ years
3. Expertise in languages like SQL, Python, R 1+ Years
4. Web Application security, SSL, Active Directory, Auth0 Familiarity Desirable
5. 2+ years overall Data Engineering experience
6. Preferred experience with Streaming Analytics, No SQL database (Cosmos preferred), Data Warehousing & Reporting