Data Engineer
Data Engineer
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Job Description
Qualifications and Skills
- Bachelors degree in computer science or a similar field with 5 years experience as a data engineer or SQL developer.
- 5 years experience developing SQL and good knowledge of Python.
- Excellent understanding of TSQL programming ETL Processes and Microsoft SQL Server.
- Experience working with data using structured (SQL) and/or unstructured (NoSQL) approaches.
- Experience with or exposure to data visualization principles and practices especially with Power BI or Tableau.
- Indepth knowledge of Azure Data Factory Azure Databricks and Azure Service Bus.
- Critical thinker with excellent problemsolving skills and the ability to solve end user problems.
- A team player with good timemanagement skills and the ability to maintain a friendly demeanor at all times.
- Travel requirement of up to 20 on a regular basis. (i.e. He may need to travel here from time to time as needed.
- Demonstrated ability to quickly learn new applications and technologies
- Advanced working knowledge of computer software packages including the Microsoft Office Suite as well as demonstrated understanding of operating systems relational database design and operation query tools reporting tools and decision support tools
- Exceptional interpersonal skills with a focus on teamwork listening and ability to build relationships beyond the IT team
- Excellent verbal and written communication skills
- Ability to effectively prioritize and execute tasks in a highpressure environment
- Sense of ownership and pride in your performance and its impact on the companys success. Selfmotivated with an energetic disposition.
We offer medical dental vision basic life insurance coverage holiday pay and PTO accrual. Additionally employees are able to enroll in a retirement savings plan. The pay rate range along with most all of the other terms and conditions of employment vary between different sites geographical markets customer/ contractual terms and positions.
At National Express our goal is to be a diverse workforce that is representative of the communities we serve. All employment decisions are based on business needs job requirements and individual qualifications without regard to race color religion sex pregnancy (including childbirth lactation and related medical conditions) national origin age physical and mental disability marital status sexual orientation gender identity gender expression genetic information (including characteristics and testing) military and veteran status and any other characteristic protected by applicable law.
National Express LLCs independent subsidiaries and affiliates are an equal employment opportunity EEO) employer
The pay rate range along with most all of the other terms and conditions of employment vary between different sites geographical markets customer/ contractual terms and positions.
National Express companies share a strong commitment to provide the highest level of transportation safety quality transportation outstanding customer service and positive employee relations. Our corporate headquarters located in Lisle Illinois houses the administrative and corporate support functions for the organization. Our 250 local customer service centers (CSCs) are supported by regional operations teams located throughout North America. Learn more at nellc.
National Express is seeking an experienced Data Engineer to join our development team. The right person will have proven Specialization in Data Engineering following Medallion Data Architecture Principles and experience building/supporting large data structures.
Responsibilities and Duties
- Responsible for data engineering functions including but not limited to data extraction transformation loading and integration in support of modern cloud computing platforms like Azure and Databricks.
- Understand the Data Platforms & Services strategy and information architecture.
- Write optimized queries views and triggers for integration with other applications. Maintain high standards of data quality and data integrity.
- Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem using ADLS to automate structured and unstructured data ingestion.
- Design create and maintain Power BI reports and dashboards based on business requirements.
- Ensure data accuracy and integrity by managing data sources data models and refresh schedules.
- Work with DevOps engineers on CI/CD processes; perform code reviews and develop processes for improving code quality.
- Work with crossfunctional teams to gather requirements understand data needs and implement solutions that drive business insights.
- Create and maintain documentation related to report development data sources and report usage for reference and training purposes.
Employment Type
Full-Time
