Azure Data Engineer

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Job description

Akkodis is seeking an Azure Data Engineer with experience in projects in for a hybrid onsite 6-12+ month role. Qualified candidates will have 5+ years of experience in Azure Data Engineering and experience with data ingestion within Marketing platforms.

Pay Range: $65-70 per hour

This is a great opportunity with a large retail employer, offering a long-term role! C2C candidates are able to be considered.

Data Engineer job responsibilities include:

• Designs, codes, tests, and implements data movement pipelines, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards.

• Design and hands-on development on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, GCP Cloud storage and Big Query.

• Assist in configuration and administration of marketing platforms (Google Marketing platform, Salesforce MCI, The Trade Desk ADvendio, etc.) that the team supports.

• Build data ingestion into and out of the above listed marketing platforms.

• Gathers and implements functional and non-functional requirements including

performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs.

• Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions.

• Participate in agile ceremonies and follow agile cadence to build, test and deliver solutions.

• Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.

• Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.

QUALIFICATIONS:

• 5+ years of Azure Data Engineering experience including some of the following: Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, GCP Cloud storage and Big Query

• Configuration and administration of marketing platforms such as Google Marketing platform, Salesforce MCI, The Trade Desk, ADvendio, etc.

• Data ingestion experience with Marketing Platforms is required

• Must be able to work onsite in Grand Rapids MI 3 days a week for 6-12 months

If you are interested in this hybrid onsite Azure Data Engineer role, please click APPLY NOW. For other opportunities available at Akkodis go to . If you have questions about the position, please contact Kathy Becher at or

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records.

Pay Details: $65.00 to $70.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

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