Senior Data Engineer, Data Insights Analytics

Found in: beBee jobs US - 3 weeks ago


Detroit, Michigan, United States AlixPartners Full time


At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve.

By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment.

We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices.

We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.
AlixPartners has embraced a hybrid work model to provide flexibility and support our employees' work-life integration.

Our hybrid model combines a mix of in-person at an AlixPartners office on Tuesday, Wednesday, & Thursday, and remote working options for Monday and Friday.


Location:
Southfield, MI

What you'll do

In this important role on AlixPartners' IT Data Insights & Analytics (DIA) team, you will provide on-site engineering and support for our Microsoft Azure Data lake, Data Bricks, and all data-related services, including managing design, implementation, operation, and monitoring.

The Data Insights & Analytics Senior Data Engineer reports to the Data Insights and Analytics Development Manager. The role is in Southfield, MI; remote work may be considered for highly qualified candidates. Paid relocation is not available for this position.
Design and implement scalable data architectures, ensuring efficient data flow and storage. This involves working with technologies like Azure Data Lake, Data Bricks PySpark, and Data Bricks SQL Pro

Develop and optimize ETL processes including extracting data from source systems, transforming it into a usable format, and loading it into the target storage.

Create and maintain data pipelines that facilitate the flow of data from various sources to Data Lake or other storage systems.

Implement process to ensuring data quality and integrity. Responsibilities include validating and cleansing data to maintain its quality and integrity.

Work closely with cross-functional teams, including business analysts, quality assurance, report developers, administrators, and stakeholders to identify and address data-related issues.

Troubleshoot and resolve issues with Data Lake, Pipelines, Reports, and related infrastructure; escalate to other technology support resources as needed.

Schedule, communicate, perform, and monitor both regular and ad hoc pipeline activities in accordance with defined policies and procedures.

Participate in the creation (or modification) of documentation activities related to system design, configuration, and operation, support policies and compliance procedures.

Adhere to and perform against internal SLAs to the business.
Additional responsibilities as identified. This description is not designed to encompass a comprehensive listing of required activities, duties, or responsibilities.
What you'll need
Bachelors' degree preferred.
Minimum three (3) years of data engineering experience is required.
Experience using Data Bricks and PySpark.
Experience in Microsoft Azure Cloud Services.
Experience in a 24x7 service delivery model supporting mission-critical business operations.

Demonstrated interpersonal skills; proven ability to work effectively with various personnel styles; ability to effectively convey and obtain buy-in for holistic strategies at all levels and functions in the organization.

Excellent written and verbal communication skills in English.
Willingness to work outside of normal U.S. business hours, and as unique projects/needs arise.
Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portio
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