The main function of a data engineer is to create and maintain analytics infrastructure. They build, maintain, and operate databases and large-scale processing systems. While storing and processing answers, they also help gather and collect them.

Job Responsibilities:

  • Design, develop, deploy and maintain high performance data flows between source and target systems using modern ETL tools.
  • Design scalable patterns and architecture to support both batch and real-time data products and platforms using big data technologies.
  • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming, data in-transit.
  • Contribute to the direction, road map and standards for functional, process and technical Data solutions.
  • Analyzing and translating business requirements into functional and technical requirements and design.
  • Designing, implementing and analyzing high performing queries on our EDW.
  • Help with intake prioritization.

Degrees/ Certifications /Years of Overall Experience Required:

  • Bachelor’s degree in a related field or equivalent experience.
  • Minimum of 5 years of related work experience.
  • 5+ years of hands-on experience with an ETL tool is required.
  • 5+ years of experience delivering Enterprise Data Solutions including Data Lakes, Data Warehouses and Data Pipelines.

Top Must-Have Skills / Candidate Requirements:

  • Experience with modern data movement, storage, management and security technology and tooling.
  • Experience with at least one MPP database technology such as Snowflake.
  • Experience in designing modern AI/ML mechanisms with AWS technology.
  • Sound understanding of Data Streaming models with AWS technology.
  • Experience with modern engineering practices and how to use and apply them to Data Architectures and solutions.
  • Experience with data modeling, data warehousing, and building high volume ETL/ELT pipelines.
  • Experience with integration of multi cloud services with on-premise technologies.
  • Experience in cloud data engineering on AWS is a plus.
  • Understanding of metadata management, data lineage, and data glossaries is a plus.
  • Understanding of agile development, including DataOps is a plus.
  • Familiarity with business intelligence tools (PowerBI, Tableau).
  • Exceptional collaboration skills.


  • Understanding business requirements and data-processes.
  • Experienced in covering requirement analysis, configuration, design and development, testing and monitoring the launch.
  • Ability to work effectively in a multi-disciplinary team.
  • Ensure stability of data management and transfers through systems, for maintaining the integrity of the data residing on systems, facilitating and performing validations, and error resolution and decision making to complete or support business processing requirements.
  • Effective written, oral communications and interpersonal skills.
  • Ability to work effectively in a multi-tasking stressful environment, working independently and prioritizing work.
  • Must have strong teamwork skills and the ability to develop working relationships.
  • Must be able to communicate with different levels of management as well as to employees in the business.
  • Must be highly motivated, have a great work ethic and enjoy working as part of a team.


  • Bachelor’s degree in a related field or equivalent experience.
  • Minimum of 5 years of related work experience.

  • Personal Information

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