Big Data Engineer job description

Use this Big Data Engineer job description template to advertise open roles for your company. Be sure to modify requirements and duties based on the unique needs of the role you’re hiring for.
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Job brief

We are seeking a talented Big Data Engineer to provide big data solutions. This position requires designing and maintaining data systems, producing dashboards to display big data results in real-time while working in a cross-team environment.


  • Delivering big data solutions by building Hadoop-based data management systems.
  • Develop cloud systems for data storage and transfer.
  • Construct data visualization dashboards that deliver real-time key metrics for better decision-making.
  • Translate high-level business needs into detailed system designs.
  • Managing and optimizing communication lines between internal systems and between internal systems and third-party vendors.
  • Collaborate with various departments to assist in decision-making regarding data-influenced decisions.
  • Produce reports on data collected, methods of collection, and generated insights.
  • Presentations key findings and insights to executive and operation teams.
  • Training employees on data management and storage.
  • For a range of projects and campaigns, collect and process raw data at scale.
  • Design and construct data applications for a number of teams and projects.
  • As needed and requested, read, extract, transform, stage, and load data into selected tools and frameworks.
  • Integrate your work into our production systems by working closely with the engineering team.
  • Transform unstructured data into an analysis-ready format.
  • Analyze the data that has been processed.
  • As needed, ad hoc analysis can be used to support business choices.


  • Bachelor’s in Computer Science, Computer Engineering, or related field
  • Experience engineering and analyzing data
  • 3+ years minimum of working with big data
  • Knowledge in programming languages including SQL, and Python
  • In-depth knowledge of Spark, Hadoop, and SQL systems
  • Familiarity with AWS and Mesos
  • Phenomenal project management skills
  • Excellent communication and presentation abilities
  • Curious and problem-solving capabilities

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