Data Engineer I - Sr

Date: May 13, 2022

Location: Woodlands, Texas, United States

Company: Entergy

Posting End Date: 05/30/2022 

Work Place Flexibility: Hybrid 

 

*This position will be filled as a Data Engineer I, II or Sr based on candidates experience level.*

*This position may be filled in the Woodlands, TX; New Orleans, LA; or Little Rock, AR*

 

Job Summary/Purpose

The Data Engineer is an integral member of the product delivery teams, assisting the solution architect to drive end-to-end technical designs for analytics projects to deliver analytic products to business customers. The Data Engineer interacts with the solution architect to understand the business stakeholder’s business and functional requirements and leads with the data engineers within the product team to design and deliver technical solutions, leveraging the data analytics platform where possible.  The Data Engineer’s key knowledge set includes system agile development life cycle, integration architectures, technology tools, database architectures, data management principles, data modelling techniques and methodologies, communication and problem solving.  The Data Engineer will assist the solution architect to design and implement large scale, enterprise-wide data processing solutions, database schemas and interfaces to relational and non-relational databases. Additionally, the Data Engineer will design small, temporary architectural solutions to support product delivery schedules should the enterprise data analytics platform be unavailable at the time the product must be delivered to a business customer.

 

The Data Engineer will implement and test the overall architectural solution by ingesting, cleaning, and organizing data into information used by analytics product.

 

The Data Engineer will work with other team members on the data analytics platform team to create plans and strategies for adopting new tools, technologies, and alternative solution architectures including leveraging the cloud. 

 

Job Duties/Responsibilities

  • Analyze data sources, design and evaluate feasible technical solutions. The solutions might include database modeling and design, relational database architecture, metadata and repository creation and configuration management. 
  • Understand the complexity of data and design systems and models to handle different data sources/formats, which includes structured, semi-structured, and unstructured, as well as stream processing.
  • Support and adhere to the development of data management policies, standards and procedures. 
  • Define integrated views of data drawing together data from across the enterprise, both in real-time and as extracts.
  • Address governance and security challenges associated with solutions.
  • Design and develop data pipelines or ETL processes.
  • Package deployments and collaborate with IT to migrate code between Development, Quality Assurance (QA), and Production environments. 
  • Support test automation, troubleshooting ETL job functionality, validating data, as well as create test data and table structures through use of SQL. 
  • Must be able to work in an agile, rapid delivery environment. 

 

Minimum Requirements   

  • B.S. Degree in a data-centric field: Computer Science or other science field, Information Systems, Information Processing or engineering.
  • Preferred: M.S. in Computer Science or other science field, Information Systems, Information Processing or engineering. 

 

Experience required of the position

Data Engineer I:

  • 0-2 years of experience: 
  • ETL experience 
  • Technologies such as Informatica, SQL programming and hands-on experience in Python, R, APIs, Spark, Python or Kafka 
  • Big data technologies 
  • Data visualization tools 

 

Data Engineer II:

  • 2+ years of experience: 
  • ETL experience 
  • Technologies such as Informatica, SQL programming and hands-on experience in Python, R, APIs, Spark, Python or Kafka 
  • Big data technologies 
  • Data visualization tools  

 

Data Engineer Sr:

  • 2+ years of data strategy, architecture related experience designing, architecting, and implementing big data solutions.
  • 4+ years of experience:
    • ETL experience
    • Experience with script and/or parser development to extract structured and unstructured data from files
    • Data warehousing, mining, analysis, self-service, or machine learning
    • Technologies such as Informatica, SQL programming and hands-on experience in Python, R, APIs, Spark, Python or Kafka
    • Big Data and Big data technologies
    • Data visualization tools

 

Skills and abilities required of the position

  • Experience with traditional ETL integration tools as well as more modern real-time messaging/integration platforms.
  • Experience with relational database modeling concepts and modeling for the modern big data platform.
  • Strong understanding of Operational, Relational, Analytical, Master, and Reference data models.
  • Knowledgeable in tools used to identify and manage structured and unstructured data.
  • Expert using data governance technologies such as Collibra or Informatica EDC.
  • Strong communicator at the technical levels
  • Strong, demonstrated writing and presentation skills 

 

 

#LI-CM1

 

Primary Location: Texas-Woodlands
Job Function: Professional
FLSA Status: Professional
Relocation Option: No Relocation Offered
Union description/code: NON BARGAINING UNIT-NBU
Number of Openings: 2
Req ID: 106890
Travel Percentage:Up to 25%

 

An Equal Opportunity Employer, Minority/Female/Disability/Vets. Please click here to view the full statement.

 

WORKING CONDITIONS: 

As a provider of essential services, Entergy expects its employees to be available to work additional hours, to work in alternate locations, and/or to perform additional duties in connection with storms, outages, emergencies, or other situations as deemed necessary by the company. Exempt employees may not be paid overtime associated with such duties.


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