Data Engineer

3 hours ago


Omaha, Nebraska, United States Nifty Tech Inc Full time

Company Description

Nifty Tech Inc. is a leading IT consulting and technology services company, dedicated to transforming bold ideas into impactful digital solutions. Specializing in cloud transformation, data engineering, and custom software development, we help businesses innovate and scale to maintain a competitive edge. Partnering with clients ranging from startups to enterprises, we combine technical expertise, agile methods, and strategic insight to deliver measurable results. With a strong talent base across North America and India, Nifty Tech is committed to empowering organizations to succeed through smart, efficient, and tailored technology solutions.

Role Description

This is a contract role for a Data Engineer based in Omaha, NE, with flexibility for a hybrid work arrangement (some work from home allowed). In this role, the Data Engineer will design, build, and maintain robust and scalable data pipelines. Responsibilities include implementing Extract, Transform, Load (ETL) workflows, managing data modeling and warehousing solutions, and collaborating with cross-functional teams to meet data integration and analysis needs. Additionally, the role involves optimizing data structures to support analytics and reporting for informed decision-making.

Qualifications

  • Proficiency in Data Engineering, including the ability to design and manage scalable and efficient data pipelines
  • Strong skills in Data Modeling and expertise in designing and optimizing database schemas
  • Experience with Extract, Transform, Load (ETL) processes and tools
  • Knowledge of Data Warehousing concepts and technologies
  • Strong understanding of Data Analytics, including data interpretation and visualization
  • Strong problem-solving and critical-thinking skills
  • Experience with modern data platforms, cloud environments (AWS, Azure, or GCP), and programming languages such as Python, SQL, or Java
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field

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