Senior Consultant | Cloud Integration | Azure Data Factory (ADF)

Description: Job Title: Data Engineer

Work Location : Ann ArborMI48105

Vendor Rate: *** - ***

Contract duration: 6

Target Start Date: 07 Sep 2026

Does this position require Visa independent candidates only? Yes

**Full On-site (4days WFO/ week)**

Job Details:

Must Have Skills:

Databricks, ADF, PySpark

Nice to have skills:

SQL, Gen AI, Control-M

Detailed Job Description

Key Responsibilities

Design, build, and maintain data pipelines using Azure Databricks

Perform data ingestion, transformation, and processing for enterprise data platforms

Work closely with onsite client teams and stakeholders to understand data requirements

Support data engineering workloads aligned to DNA (Data & Analytics) programs

Collaborate with offshore teams, as applicable, to ensure end‑to‑end delivery

Required Technical Skills

Databricks – strong hands‑on experience (mandatory)

Experience working with Unity Catalog, *** Lake, DLT Pipelines, Pyspark, SQL, Python, Databricks Rest API, Version Control (Git/Gitlab), Data Governance

Azure Data Engineering stack

Azure Databricks

Azure data services(ADF, Key Vault, ADLS, Blob storage)

Strong foundation in Data Engineering concepts (ETL/ELT, distributed processing)

Ability to work independently in an onsite client environment

MUST have

Willingness to relocate or work onsite in Ann Arbor, MI

Candidate need to work 4 days/week from client HQ

Ability to join quickly due to urgent client demand

Strong communication skills for onsite coordination

Minimum Years Of Experience

8-10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute

Provide strategic Input

architectural guidance for new implementation areas

ensuring a robust foundation for migration and setup projects

Interview Process (Is face to face required?)

No

Any additional information you would like to share about the project specs/ nature of work

Custom Fields:

Name: Intake Call Requested

Value: true

Name: Intake Call Completed

Value: false