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  • ID
    #22061472
  • Job type
    Permanent
  • Salary
    TBD
  • Source
    GDH
  • Date
    2021-11-02
  • Deadline
    2021-12-31

Data Engineer

Oklahoma, Oklahoma city, 73117 Oklahoma city USA
 
Permanent

Data Engineer

GDH is partnered with a rapidly growing company in the OKC area who is looking for a Data Engineer to join their team. The ideal candidate will have experience building data pipelines as well as strong experience with data management architectures. If you like a fast-paced environment with the opportunity to work with leading technology, this job is for you!

BASIC PURPOSE: As a Data Engineer, the successful candidate will play a pivotal role in building, managing, and optimizing data pipelines for the Enterprise Data & Analytics initiatives following industry standard practices and tools. This role will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes. The candidate will require both creative and collaborative skills working with IT and business, including data scientists, data analysts, and other data consumers, as well as 3rd party business partners and vendors.

MAJOR RESPONSIBILITIES/SKILLS:

Architect, build, and maintain data pipelines through acquisition, ingestion, staging, and modeling

Provide architectural input to program leadership for project teams to develop solutions that align with long-term data warehouse strategy

Strong experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub, Data Vault and the supporting processes like Data Integration, Governance, and Metadata Management

Strong experience working with large, heterogeneous datasets in building data pipelines and integrating datasets using traditional data integration technologies, including ETL/ELT, data replication/CDC, message-oriented data movement, and API-based data acquisition

Responsible for the identification and qualification of source data to satisfy master and transactional data requirements for the target warehouse

Lead data assessment and mapping activities, and develop the underlying migration framework to extract, transform, validate, enrich, and load the source data

Define reusable solution architectures using standard modeling practices

Design and deliver solutions that are reliable and scalable and focused on driving automation and improving productivity

Fundamental understanding of data warehousing principles

Ability to understand impacts of a solution architecture on corresponding design, build, and test efforts

EDUCATION AND EXPERIENCE:

Required Experience:

Strong experience with Microsoft SQL Server 2008+

Strong experience working with complex SQL code

Strong experience working with open-source or commercial message queuing technologies, such as Azure Service Bus, Apache Nifi, Apache Kafka, etc.

Strong experience working with DevOps capabilities like version control, automated builds, testing and release management using tools like Git

Strong experience working with Microsoft SSIS

Preferred Experience:

Snowflake experience a plus

SAP Hana experience a plus

SAP BW experience a plus

Tableau experience a plus

Power BI experience a plus

R/Python experience a plus

Education:

HS Diploma or equivalent required

Bachelor's degree in Business with MIS or technology related degree (C.S.) required

Interested candidates please send resume in Word format to afarmer@gdhinc.com Please reference job code 81446 when responding to this ad.

GDH Consulting, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran's status or any other category protected by law. In addition to federal law requirements, GDH Consulting, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities and/or employees. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits and training.

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