Delivery

Data Engineer - 2195 (Remote)

Remote
Work Type: Full Time
CES is an Information Technology (IT) Consulting Organization located in the USA & India. We provide digital transformation services that add value to our customers. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.

You can learn more about us at: http://www.cesltd.com/

Job Role:

We are looking for a Data Engineer to join our team. This role requires you to be a tech-savvy contributor in translating the customer needs and user expectations into interactive web apps. You’ll be an exceptional problem solver and take responsible actions in ensuring the application is optimized in technology and delivering the best user experience.

Responsibilities:

  • Work as part of a cross-functional implementation team to deliver a high-quality SaaS-based data platform.
  • Deploy and support data extraction, integration, modeling, transformation, and business intelligence systems/applications.
  • Implement data source integrations through automation or manual steps during the implementation process.
  • Contribute and create technical documentation such as technical specifications, test plans, and product documentation.
  • Ensure the integrations from the Data Warehousing team are set up correctly and validate that the dataset is accurate.
  • Support the maintenance and troubleshooting of the data platform.
  • Partner with the team’s leadership and assist in driving best practices such as coding standards, code reviews, code management, and release strategies.
  • Participate and advocate in the team’s agile processes and continuous improvement efforts.
 
Requirements:

  • Experience with Python, Rest API 
  • Knowledge in Palantir and Oracle EBS
  • Understanding of Data Modeling, Analysis & ETLs

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