Data Engineer

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profile Job Location:

Plano, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Client: GFT Consulting - JPMC is end lient

Title: Data Engineer

Job responsibilities

  • Having a Data-first mindset
  • Work as a team developing smart and scalable solutions and provide a solid experience for our partners.
  • Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

Required qualifications capabilities and skills

  • Formal training or certification on Computer Science / Engineering concepts and 3 years applied experience.
  • Experience with Big Data & ETL tools like Alteryx Ab Initio Hadoop AWS Glue.
  • Databases Management Relational & Non-Relational Databases (SQL NoSQL).
  • Experience with Cloud technologies (AWS Google Cloud).
  • Exposure to Snowflake and reporting tools like Tableau Grafana.
  • Proficiency in Java and Python.
  • Experience building SaaS platforms tools & services for engineers.
  • Advanced knowledge of architecture & application design processes.
  • Strong coding fundamentals Algorithms & Data Structures.
  • Passion for automating & excelling at identifying gaps in processes.
  • Working knowledge of APIs RESTful APIs Web Services Spring Boot.
  • Experience with CI/CD tools like Jenkins Version Control tools (BitBucket Git).

Preferred qualifications capabilities and skills

  • Experience in conducting data integration with other third-party tools and Snowflake.
  • Excellent analytical organizational and problem-solving skills coupled with a strong work ethic.
Client: GFT Consulting - JPMC is end lient Title: Data Engineer Job responsibilities Having a Data-first mindset Work as a team developing smart and scalable solutions and provide a solid experience for our partners. Executes software solutions design development and technical troubleshooting with ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala