Data Engineer

Posted 4 Days Ago
Be an Early Applicant
3 Locations
Expert/Leader
Information Technology
The Role
The Data Engineer will handle data engineering, modeling, warehousing, and analytics. Responsibilities include building a config-driven framework using Python and Spark, along with leveraging AWS services.
Summary Generated by Built In

Data Engineer 

Location-Indore/Bangalore

Experience-5 Years+

Role Description:

This is a full-time hybrid role for a Data Engineer at NucleusTeq. The Data Engineer will be responsible for tasks such as data engineering, data modeling ,data warehousing, and data analytics. The scope of project includes, but is not limited to building a config-driven Framework using Python and Spark.

Qualifications:

  • Skills needed: Python, Spark, SQL
  • Data Engineering, Data Modeling.
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Bachelor's or Master's degree in Computer Science or related field

How it is working at NucluesTeq

Our positive and supportive culture encourages our associates to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives.

Top Skills

Python
Spark
The Company
HQ: Phoenix, AZ
500 Employees
On-site Workplace
Year Founded: 2018

What We Do

We Empower & Transform customers’ business through the use of digital technologies.

Our core focus areas are Big-Data, Cloud, Analytics (AI, ML), Blockchain, Automation & Mobility.

We enable navigation of digital transformation for several fortune 1000 clients in USA, Canada, UK & India.
NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP.

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