Azure Data Engineer

Role : Azure Data Engineer

Location: Chicago, IL (Onsite Only)

Job Description

The candidate will be responsible for designing & building solutions for Analytics applications, analytics group. This role will be part of the Enterprise BI team. This role will cover multiple data technology stacks as well as cloud technologies.

Responsibilities

Work with business owners and IT stakeholders to understand business and functional requirements to design data & integration solutions.

Develop conceptual and physical data models as well as flow diagrams illustrate current and future state data architecture.

Establish good data modelling principles and effective data quality standards.

Act as subject matter expert on all aspects of the data architecture, including data orchestration, large data processing, security & scalability.

Guide and mentor development teams on modern data engineering & design best practices

Evangelize modern data approaches & technologies as well as Cloud architecture across the Analytics group.

Required Skills

10+ years of experience building data platforms & application architectures.

Proven experience building & deploying data warehouses with Azure platform is required. Azure certification is desirable.

Strong experience with modern data engineering technologies such as python, Spark, Kafka, Airflow

Proven experience in Data modeling using Dimension modelling & Data vault methodologies with Power BI reporting integration experience.

Strong hands-on expertise in database & query performance tuning SQL queries and database best practices

Hands-on experience working with relational and NoSQL technologies (such as Oracle, Postgres, Mongo DB, etc.)

Experience with Devops and CI/CD technologies is a plus (such as GitHub Actions, Docker)

Experience in financial industry or banking is a plus

Work with business owners and IT stakeholders to understand business and functional requirements to design data & integration solutions.

Develop conceptual and physical data models as well as flow diagrams illustrate current and future state data architecture.

Establish good data modelling principles and effective data quality standards.

Act as subject matter expert on all aspects of the data architecture, including data orchestration, large data processing, security & scalability.

Guide and mentor development teams on modern data engineering & design best practices

Evangelize modern data approaches & technologies as well as Cloud architecture across the Analytics group.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.