Data Engineer Job Description


A data engineer is in charge of maintenance, improvement, cleaning, and manipulation of data in business operation and analytical databases. The data engineers employ business software engineers and they aid in the implementation of database requirements, analyze performance and troubleshoot any existent issues. The professional needs to be an expert in SQL development providing support to data and analytics in database design, data flow, and analysis activities. They play a vital role in the development and deployment of innovative big data platforms for advanced analytics and data processing. They build data pipelines that will enable faster and better data-informed decision-making within the business. They should be experts in building and optimizing big data pipelines, architectures, and data sets. They must have strong analytical skills to work with unstructured data sets. The professional must have experience supporting and working with cross-functional teams in a dynamic environment.

Data Engineer Job Titles:

  • Data Engineer
  • Associate Data Engineer

Data Engineer Job Summary:

We are looking to hire a successful candidate who has a degree in computer science or the information technology field. The data engineer should work on a portfolio of innovative projects that will enable digital operational excellence within the business group. The program direction includes artificial intelligence, operation automation, and industry-leading technology to improve the efficiency and client experience of our services. You will critically analyze the global network operation environment to build data pipelines, transform data into actionable intelligence. As a part of the effort, you will turn raw data into usable data pipelines, and build data tools and products for effort automation and easy data accessibility. You will be diagnosing existing architecture data maturity and identify gaps.

Data Engineer Responsibilities and Duties:

  • Create and maintain optimal data pipeline architecture
  • Assemble large complex data sets that meet functional business requirements
  • Identify, design, and implement internal process improvements
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies
  • Build analytical tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency, and other key business performance metrics

Data Engineer Skills and Qualification:

  • Bachelor degree in computer science or information technology
  • Must possess a minimum of 3 years of experience as a data engineer
  • Extensive knowledge about various programming languages
  • Technical expertise with data models, data mining, and segmentation techniques
  • Experience with SQL database design
  • Great numerical and analytical skills
  • Data engineering certification
  • Good understanding of data and schema standards and concepts
  • Expert with Oracle, SQL Server, MYSQL server
  • Punctual, reliable and must have strong communication skill
  • Able to work in a team and produce quality output under tight deadlines
  • Strong verbal and oral communication skills
  • Self-motivated and strong analytical skills
  • Attention to detail, prioritization skill, and time management
  • Quick learner with a positive attitude
  • Maintain a strong relationship with key groups
  • Motivational and communication skill
  • An empowered team member, a process-oriented thinker

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