Data Engineer || Atlanta, GA || Long Term Project

Hello,

 

My name is Alec Bane. I am a Senior Technical Recruiter. I’m focused on finding the most qualified candidates for the US IT industry.

 

We have the below job opening with us. Please look into it and help us and yourself by providing the valuable candidate’s data.

 

Position: Data Engineer

Work Location: Atlanta, GA – Hybrid – Locals Only

Required Work Authorization: USC/GC/H4/GC-EAD

Project Type: Long Term Project

 

Final interview will be Face to Face.

 

Must Have:

 

       TERADATA, NODEJS, PYTHON,

     SCRIPTING, QUERIES, STATISTICAL & MATHEMATICAL BACKGROUND, PREDICTIVE MODELS.

 

Special Instructions

 

·       The manager wants a resource who can hit the ground running on day one. The resource must be able to prepare, Understand and define the data that they will be reviewing.

·       Need to have strong Math, Pivot, Charting and strong Teradata skill set they should be familiar with that.

·       Python, NodeJS , AWS Cloud Watch , Strong in writing query and script.

·       The resource must feel comfortable speaking to Leadership and have excellent communication skills.

 

Qualifications:

 

       Bachelor of Science degree in Computer Science or equivalent,

       At least 7 years of post-degree professional experience,

       At least 5+ years of Airline industry experience,

       4+ years development experience building and maintaining ETL pipelines,

       3+ years of experience working with database technologies and data development such as Python, PLSQL, etc,

       Experience in mentoring junior team members through code reviews and recommend adherence to best practices,

       Deep understanding of writing test cases to ensure data quality, reliability, and high level of confidence,

       Track record of advancing new technologies to improve data quality and reliability,

       Continuously improve quality, efficiency, and scalability of data pipelines,

       Expert skills working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance,

       Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.),

       Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment,

       Familiar with best practices for data ingestion and data design.

 

Responsibilities:

 

  • Senior Data Engineer will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
  • You’ll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient.
  • You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders.
  • You will architect, design, implement and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions.

 

 

 

Thank You,

AB
alecb787@gmail.com


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