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Data Engineer Jobs

Company

World Finance

Address , Greenville
Employment type FULL_TIME
Salary
Expires 2023-12-12
Posted at 8 months ago
Job Description
The Data Engineer implements data-centric solutions to complex business problems. This individual will work alongside a data architect and the data engineering team to expand and optimize data delivery architecture. Providing expertise in data warehousing and data delivery, this individual will work with cross-functional teams including marketing, analytics, operations, and software engineering to build data-aware systems and process flows across the enterprise.

Essential Duties and Responsibilities:

  • Protect confidential company information.
  • Identify, design, and implement process improvements in data flows and data pipelines, focusing on automating data tasks.
  • Maintain an accurate and comprehensive inventory of data, data systems, and data storage.
  • Assist business, technology, and support partners/stakeholders to deliver secure data solutions.
  • Communicate with non-technical stakeholders to determine technical solutions to business problems.
  • Perform data load, data extraction.
  • Process file-based data extracts using data retrieval and management tools to provide timely loading of critical business data.
  • Implement infrastructure required to optimize ETL and ELT operations across a variety of data sources.
  • Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns.
  • Model and assemble data sets that meet functional and technical business requirements.
  • Integrate external systems with internal systems to ensure proper data flow between systems.

Qualifications:

Must be legally authorized to work in the United States without the need for employer sponsorship (including but not limited to C2C arrangement), now or at any time in the future.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required:

  • Expertise with relational databases.
  • Ability to conduct research into systems issues and products to determine integration requirements.
  • Experience structured and non-structured data paradigms, relational databases, data lake and data warehouse technologies, data vault and dimensional data models.
  • Expertise in creating and maintaining data structures in SQL.
  • Experience working with data warehousing systems for large enterprises with both internal and customer facing applications, preferably with near real time transactional data.
  • Ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Ability to communicate ideas in both technical and user-friendly language.
  • Advanced SQL proficiency.
  • Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

  • Python for building and redefining data pipelines is required.
  • Ability to work with IT operations to quickly come to resolution of open support requests.
  • Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences.
  • Self-motivated and able to work within a project-based environment.

Education and/or Experience:

  • Familiarity with business intelligence tools (such as PowerBI)
  • Experience with data transformation (DBT, etc) is a plus.
  • Familiarity with Azure Dev OPS or GitHub is a plus
  • Minimum 2 years of designing and implementing Data engineering solution.
  • Experience with MS SQL Server, Integration Services (SSIS)
  • Experience with cloud services (Snowflake, Amazon AWS, Azure Synapse, Data Factory, Data Lake Infrastructure, Azure Databricks, etc) is a plus.
  • Hands on experience with building productionized data ingestion and processing pipelines.
  • Industry experience working with large data sets.
  • Bachelor’s Degree in MIS, Computer Science, or related field, or equivalent professional experience.
  • Experience workflow orchestration (Airflow, etc) is a plus.
  • Strong TSQL scripting abilities and understanding of complex stored procedures, views, data. aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques.
  • Experience with data modeling and building high-volume ETL/ELT pipelines tools (Matillion, Fivetran, Stich, etc) is a plus.
  • Design and delivery of data warehouse applications/solutions
  • Experience using Python.

Physical Demands:

  • Must be able to constantly remain in a stationary position.
  • The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Occasionally may require light lifting to 25 pounds.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.

Work Environment:

  • Occasional travel may be required.
  • Office environment.

This job description reflects management’s assignment of essential functions; and nothing in this herein restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

It is the policy of World Acceptance Corporation to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, World Acceptance Corporation will provide reasonable accommodations for qualified individuals with disabilities.


CategoryCorporate Positions
Time TypeFull Time
Posting Requisition IDR12548